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MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. ABOUT | MUSIC MACHINERY About. The world of online music is growing rapidly. Every day, thousands of new tracks by new artists are uploaded to the Internet. Soon all recorded music will be online and available for you to listen to anywhere at any time, on any device. However, this seemingly endless supply of new music creates a problem for a music listener. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm SpotifyDEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
THE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. ABOUT | MUSIC MACHINERY About. The world of online music is growing rapidly. Every day, thousands of new tracks by new artists are uploaded to the Internet. Soon all recorded music will be online and available for you to listen to anywhere at any time, on any device. However, this seemingly endless supply of new music creates a problem for a music listener. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm SpotifyDEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
THE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
ABOUT | MUSIC MACHINERY About. The world of online music is growing rapidly. Every day, thousands of new tracks by new artists are uploaded to the Internet. Soon all recorded music will be online and available for you to listen to anywhere at any time, on any device. However, this seemingly endless supply of new music creates a problem for a music listener. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.MUSIC HACKING
Malmö Sweden. Musicians, developers, artists, designers, composers, hardware tinkerers, and others hacking together projects exploring music. Join Sony Mobile, Spotify, Deezer, Soundcloud, The Echo Nest and Neo4j on the weekend of November 1st-3rd for a music hackathon at Minc Malmö, Sweden. Hosting provided by Minc. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm HOTTTNESSS | MUSIC MACHINERY Hotttnesss – this corresponds to how much buzz the artist is getting right now. This is derived from many sources, including mentions on the web, mentions in music blogs, music reviews, play counts, etc. I collected these 2 pieces of data for 130K+ artists and plotted them. The following plot shows the results. VISUALIZING THE STRUCTURE OF POP MUSIC Visualizing the Structure of Pop Music. The Infinite Jukebox generates plots of songs in which the most similar beats are connected by arcs. I call these plots cantograms. For instance, below is a labeled cantogram for the song Rolling in the Deep by Adele. The song starts at 3:00 on the circle and proceeds clockwise, beat by beat completelyTHE PLAYLIST MINER
Under the hood – The Playlist Miner uses lots of bits of the Spotify API – user authentication, playlist search, playlist reading, playlist saving and more. The app is a an API calling beast – aggregating all the tracks from a thousand playlists requires 1,000 API calls. It’s a testament to the Spotify Web API that it doesn’teven
50 YEARS AGO IN MUSIC 50 Years Ago in Music. There’s a strong connection between music and memory. Whenever I here the song Lovin You by Minnie Riperton, I’m instantly transported back to 1975 when I spent the summer apprenticed to Tom, my future brother-in-law, fixing electronic organs. I was 15, Tom was 22 and super cool. He had a business (New Hampshire Organ EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category. TOP 50 MOST POLITICAL ARTISTS The Top 50 Most Political Artists. Here’s a screenshot: Not surprisingly popular artists make lots of news, and when a popular artists says or does something political it tends to make news, especially when what they say goes against expectations. For example, when Nicki Minaj said she was going to vote for Mitt Romney it createda storm of
MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm SpotifyDEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
SIX DEGREES OF BLACK SABBATH (V2) For my Christmas vacation programming project this year, I revisited an old hack: Six Degrees of Black Sabbath. I wrote the original, way back in 2010 at the very first San Francisco Music Hack Day.That version is still up and running, and getting regular visits, but it is getting a bit long in the tooth and so I’ve given it a total rewritefrom the ground up.
EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category. THE MILLION SONGS OF CHRISTMAS Christmas Songs. 370. Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart. Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics: SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz.MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm SpotifyDEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
SIX DEGREES OF BLACK SABBATH (V2) For my Christmas vacation programming project this year, I revisited an old hack: Six Degrees of Black Sabbath. I wrote the original, way back in 2010 at the very first San Francisco Music Hack Day.That version is still up and running, and getting regular visits, but it is getting a bit long in the tooth and so I’ve given it a total rewritefrom the ground up.
EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category. THE MILLION SONGS OF CHRISTMAS Christmas Songs. 370. Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart. Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics: SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz.THE ECHO NEST
The app, called Acrostify, will generate acrostic playlists with the first letter of each song in the playlist spelling out a secret message. With the app, you can create acrostic playlists and save them to Spotify. The app was built using The Echo Nest and Spotify APIs. The source is on github. SIX DEGREES OF BLACK SABBATH (V2) For my Christmas vacation programming project this year, I revisited an old hack: Six Degrees of Black Sabbath. I wrote the original, way back in 2010 at the very first San Francisco Music Hack Day.That version is still up and running, and getting regular visits, but it is getting a bit long in the tooth and so I’ve given it a total rewritefrom the ground up.
KNOW YOUR GENRE
Know your Genre is a website built by Sam Richardson that helps you better understand the world of music genres. Type in the name of a genre, and Know Your Genre will bring you to a page devoted to the genre where you listen to the best examples, see the most representative bands and discuss the genre with other fans. 50 YEARS AGO IN MUSIC 50 Years Ago in Music. There’s a strong connection between music and memory. Whenever I here the song Lovin You by Minnie Riperton, I’m instantly transported back to 1975 when I spent the summer apprenticed to Tom, my future brother-in-law, fixing electronic organs. I was 15, Tom was 22 and super cool. He had a business (New Hampshire Organ VISUALIZING THE STRUCTURE OF POP MUSIC Visualizing the Structure of Pop Music. The Infinite Jukebox generates plots of songs in which the most similar beats are connected by arcs. I call these plots cantograms. For instance, below is a labeled cantogram for the song Rolling in the Deep by Adele. The song starts at 3:00 on the circle and proceeds clockwise, beat by beat completely TUNING THE INFINITE JUKEBOX The Infinite Jukebox works hard to find the best way to make a song play forever. This is a balancing act. The jukebox needs to add branches to a song that will allow it to hyper-jump from one section to another. If the destination of the branch sounds similar to the starting point of theBOIL THE FROG
To use Boil the Frog, you type in the names of any two artists you’ll be given a playlist that connects the two artists. Click on the first artist to start listening to the playlist. If you don’t like the route taken to connect two artists, you can make a new route by bypassing an offending artist. The app uses Rdio to play the music. IN SEARCH OF THE CLICK TRACK Sometime in the last 10 or 20 years, rock drumming has changed. Many drummers will now don headphones in the studio (and sometimes even for live performances) and synchronize their playing to an electronic metronome - the click track. This allows for easier digital editing of the recording. Since all of the measures are of WHAT’S YOUR MUSICAL STEREOTYPE? What’s your musical stereotype? You can usually learn something about a person by looking at what music they listen to. Someone who listens to the Sex Pistols and the Ramones is likely to be from a very different demographic than someone whose favorite artist is Julie Andrews. Of course there are always exceptions to the rule – thereare
TOP 50 MOST POLITICAL ARTISTS The Top 50 Most Political Artists. Here’s a screenshot: Not surprisingly popular artists make lots of news, and when a popular artists says or does something political it tends to make news, especially when what they say goes against expectations. For example, when Nicki Minaj said she was going to vote for Mitt Romney it createda storm of
MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm SpotifyDEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category. 50 YEARS AGO IN MUSIC 50 Years Ago in Music. There’s a strong connection between music and memory. Whenever I here the song Lovin You by Minnie Riperton, I’m instantly transported back to 1975 when I spent the summer apprenticed to Tom, my future brother-in-law, fixing electronic organs. I was 15, Tom was 22 and super cool. He had a business (New Hampshire OrganMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
THE MILLION SONGS OF CHRISTMAS Christmas Songs. 370. Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart. Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics: SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz.MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm SpotifyDEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category. 50 YEARS AGO IN MUSIC 50 Years Ago in Music. There’s a strong connection between music and memory. Whenever I here the song Lovin You by Minnie Riperton, I’m instantly transported back to 1975 when I spent the summer apprenticed to Tom, my future brother-in-law, fixing electronic organs. I was 15, Tom was 22 and super cool. He had a business (New Hampshire OrganMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
THE MILLION SONGS OF CHRISTMAS Christmas Songs. 370. Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart. Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics: SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz.THE ECHO NEST
The app, called Acrostify, will generate acrostic playlists with the first letter of each song in the playlist spelling out a secret message. With the app, you can create acrostic playlists and save them to Spotify. The app was built using The Echo Nest and Spotify APIs. The source is on github. SIX DEGREES OF BLACK SABBATH (V2) For my Christmas vacation programming project this year, I revisited an old hack: Six Degrees of Black Sabbath. I wrote the original, way back in 2010 at the very first San Francisco Music Hack Day.That version is still up and running, and getting regular visits, but it is getting a bit long in the tooth and so I’ve given it a total rewritefrom the ground up.
THE AUTOCANONIZER
The Autocanonizer. I’ve spent the last 24 hours at the SXSW Music Hackathon championship. For my hack I’ve built something called The Autocanonizer. It takes any song and tries to make a canon out of it. A canon is a song that can be played against a copy of itself. The Autocanonizer does this by looking at the detailed audio in the song TUNING THE INFINITE JUKEBOX The Infinite Jukebox works hard to find the best way to make a song play forever. This is a balancing act. The jukebox needs to add branches to a song that will allow it to hyper-jump from one section to another. If the destination of the branch sounds similar to the starting point of the VISUALIZING THE STRUCTURE OF POP MUSIC Visualizing the Structure of Pop Music. The Infinite Jukebox generates plots of songs in which the most similar beats are connected by arcs. I call these plots cantograms. For instance, below is a labeled cantogram for the song Rolling in the Deep by Adele. The song starts at 3:00 on the circle and proceeds clockwise, beat by beat completely 50 YEARS AGO IN MUSIC 50 Years Ago in Music. There’s a strong connection between music and memory. Whenever I here the song Lovin You by Minnie Riperton, I’m instantly transported back to 1975 when I spent the summer apprenticed to Tom, my future brother-in-law, fixing electronic organs. I was 15, Tom was 22 and super cool. He had a business (New Hampshire Organ THE SKIP | MUSIC MACHINERY The first theory is that the skipping rate is a indication of how much free time a person has time. Teenagers skip more because they have more time to devote to editing their music stream, whereas thirty-somethings, with their little kids and demanding jobs,KNOW YOUR GENRE
Know your Genre is a website built by Sam Richardson that helps you better understand the world of music genres. Type in the name of a genre, and Know Your Genre will bring you to a page devoted to the genre where you listen to the best examples, see the most representative bands and discuss the genre with other fans. IN SEARCH OF THE CLICK TRACK Sometime in the last 10 or 20 years, rock drumming has changed. Many drummers will now don headphones in the studio (and sometimes even for live performances) and synchronize their playing to an electronic metronome - the click track. This allows for easier digital editing of the recording. Since all of the measures are of WHAT’S YOUR MUSICAL STEREOTYPE? What’s your musical stereotype? You can usually learn something about a person by looking at what music they listen to. Someone who listens to the Sex Pistols and the Ramones is likely to be from a very different demographic than someone whose favorite artist is Julie Andrews. Of course there are always exceptions to the rule – thereare
MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm Spotify WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that HOTTTNESSS | MUSIC MACHINERY Hotttnesss – this corresponds to how much buzz the artist is getting right now. This is derived from many sources, including mentions on the web, mentions in music blogs, music reviews, play counts, etc. I collected these 2 pieces of data for 130K+ artists and plotted them. The following plot shows the results.MUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
THE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music file SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm Spotify WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that HOTTTNESSS | MUSIC MACHINERY Hotttnesss – this corresponds to how much buzz the artist is getting right now. This is derived from many sources, including mentions on the web, mentions in music blogs, music reviews, play counts, etc. I collected these 2 pieces of data for 130K+ artists and plotted them. The following plot shows the results.MUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
THE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music file SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
ABOUT | MUSIC MACHINERY About. The world of online music is growing rapidly. Every day, thousands of new tracks by new artists are uploaded to the Internet. Soon all recorded music will be online and available for you to listen to anywhere at any time, on any device. However, this seemingly endless supply of new music creates a problem for a music listener. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. DATA | MUSIC MACHINERY Let’s unwrap this dataset to see what we can find. First, some basic stats: Those 914,047 tracks represent 180,660 unique songs and were created by 63,711 unique artists – from Aaron Neville to Zuma the King. The top 20 artists with the most Christmas tracksMUSIC HACKING
Malmö Sweden. Musicians, developers, artists, designers, composers, hardware tinkerers, and others hacking together projects exploring music. Join Sony Mobile, Spotify, Deezer, Soundcloud, The Echo Nest and Neo4j on the weekend of November 1st-3rd for a music hackathon at Minc Malmö, Sweden. Hosting provided by Minc. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
VISUALIZING THE STRUCTURE OF POP MUSIC Visualizing the Structure of Pop Music. The Infinite Jukebox generates plots of songs in which the most similar beats are connected by arcs. I call these plots cantograms. For instance, below is a labeled cantogram for the song Rolling in the Deep by Adele. The song starts at 3:00 on the circle and proceeds clockwise, beat by beat completely THE MILLION SONGS OF CHRISTMAS Christmas Songs. 370. Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart. Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics: THE SKIP | MUSIC MACHINERY The first theory is that the skipping rate is a indication of how much free time a person has time. Teenagers skip more because they have more time to devote to editing their music stream, whereas thirty-somethings, with their little kids and demanding jobs, EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category.MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatTHE ECHO NEST
At The Echo Nest we’ve built what I think is the best, most complete music API — and now our API is about to get so much better. Today, we’ve announced that The Echo Nest has been acquired by Spotify, the award-winning digital music service.As part of Spotify, The Echo Nest will use our deep understanding of music to give Spotify listeners the best possible personalized music listening HOTTTNESSS | MUSIC MACHINERY Hotttnesss – this corresponds to how much buzz the artist is getting right now. This is derived from many sources, including mentions on the web, mentions in music blogs, music reviews, play counts, etc. I collected these 2 pieces of data for 130K+ artists and plotted them. The following plot shows the results.THE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music fileMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatTHE ECHO NEST
At The Echo Nest we’ve built what I think is the best, most complete music API — and now our API is about to get so much better. Today, we’ve announced that The Echo Nest has been acquired by Spotify, the award-winning digital music service.As part of Spotify, The Echo Nest will use our deep understanding of music to give Spotify listeners the best possible personalized music listening HOTTTNESSS | MUSIC MACHINERY Hotttnesss – this corresponds to how much buzz the artist is getting right now. This is derived from many sources, including mentions on the web, mentions in music blogs, music reviews, play counts, etc. I collected these 2 pieces of data for 130K+ artists and plotted them. The following plot shows the results.THE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music fileMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
ABOUT | MUSIC MACHINERY About. The world of online music is growing rapidly. Every day, thousands of new tracks by new artists are uploaded to the Internet. Soon all recorded music will be online and available for you to listen to anywhere at any time, on any device. However, this seemingly endless supply of new music creates a problem for a music listener. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. DATA | MUSIC MACHINERY Let’s unwrap this dataset to see what we can find. First, some basic stats: Those 914,047 tracks represent 180,660 unique songs and were created by 63,711 unique artists – from Aaron Neville to Zuma the King. The top 20 artists with the most Christmas tracksMUSIC HACKING
Malmö Sweden. Musicians, developers, artists, designers, composers, hardware tinkerers, and others hacking together projects exploring music. Join Sony Mobile, Spotify, Deezer, Soundcloud, The Echo Nest and Neo4j on the weekend of November 1st-3rd for a music hackathon at Minc Malmö, Sweden. Hosting provided by Minc. MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
VISUALIZING THE STRUCTURE OF POP MUSIC Visualizing the Structure of Pop Music. The Infinite Jukebox generates plots of songs in which the most similar beats are connected by arcs. I call these plots cantograms. For instance, below is a labeled cantogram for the song Rolling in the Deep by Adele. The song starts at 3:00 on the circle and proceeds clockwise, beat by beat completely THE MILLION SONGS OF CHRISTMAS Christmas Songs. 370. Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart. Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics: THE SKIP | MUSIC MACHINERY The first theory is that the skipping rate is a indication of how much free time a person has time. Teenagers skip more because they have more time to devote to editing their music stream, whereas thirty-somethings, with their little kids and demanding jobs, EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category.MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm Spotify WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatTHE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music fileMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category.MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to34-year-old
MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm Spotify WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning thatTHE DROP MACHINE
The Drop Machine uses the prominence of the peak at the drop to find the songs with the most intense drops. Putting it all together, the Drop Machine searches through the most popular dance, dubstep and brostep tracks and finds the ones with the most prominent listening peaks based upon scrubbing behavior. SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz. SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music fileMUSIC POPCORN
Music Popcorn – A visualization of the music genre space. My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn’s Every Noise at Once is the destination app for this sort of thing, andI
GENDER SPECIFIC LISTENING Gender Specific Listening. One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is verydifficult
EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Average number of artists in listening rotation. The typical 25- to 34-year old listener has more artists in active rotation than any other age group, while the 65+ listeners have the least. Relative number of plays per user by age group. Likewise, the typical 25- to 34-year-old listener plays more music than any other category. ABOUT | MUSIC MACHINERY About. The world of online music is growing rapidly. Every day, thousands of new tracks by new artists are uploaded to the Internet. Soon all recorded music will be online and available for you to listen to anywhere at any time, on any device. However, this seemingly endless supply of new music creates a problem for a music listener. MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. DATA | MUSIC MACHINERY Let’s unwrap this dataset to see what we can find. First, some basic stats: Those 914,047 tracks represent 180,660 unique songs and were created by 63,711 unique artists – from Aaron Neville to Zuma the King. The top 20 artists with the most Christmas tracks PLAYLIST | MUSIC MACHINERY The Playlist Builder Library is a Python library for creating and manipulating playlists. It’s sort of like remix for playlists. With PBL you can take songs from playlists, albums, artists, genres and flexibly combined them, rearrange them, filter them and sort them intonew playlists.
WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that HOTTTNESSS | MUSIC MACHINERY Hotttnesss – this corresponds to how much buzz the artist is getting right now. This is derived from many sources, including mentions on the web, mentions in music blogs, music reviews, play counts, etc. I collected these 2 pieces of data for 130K+ artists and plotted them. The following plot shows the results. THE SKIP | MUSIC MACHINERY The first theory is that the skipping rate is a indication of how much free time a person has time. Teenagers skip more because they have more time to devote to editing their music stream, whereas thirty-somethings, with their little kids and demanding jobs, VISUALIZING THE STRUCTURE OF POP MUSIC Visualizing the Structure of Pop Music. The Infinite Jukebox generates plots of songs in which the most similar beats are connected by arcs. I call these plots cantograms. For instance, below is a labeled cantogram for the song Rolling in the Deep by Adele. The song starts at 3:00 on the circle and proceeds clockwise, beat by beat completely THE MILLION SONGS OF CHRISTMAS Christmas Songs. 370. Current popular Christmas crooner Michael Bublé, with 31 unique Christmas songs has a way to go before he makes it on to the most-unique-songs-recorded chart. Speaking of Karaoke – there’s lots of Christmas Karaoke – 23,472 tracks to be precise. The top 25 Karaoke songs are the classics: IS MUSIC GETTING MORE PROFANE? Even when we look at the use of the word ‘fuck’ relative to other words there is a clear increasing trend. Is music getting more profane? The answer is yes. The data show that the likelihood of a song with the word ‘fuck’ in the title has more than doubled since the 80s. And it doesn’t look like this trend has reached its peakyet.
MUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Rdio Version. Finding the most distinctive artists. Perhaps more interesting than looking at how the two ages overlap in listening, is to look at how they differ – what are the artists that a 64-year-old will listen to that are rarely, if ever, listened to by a 13-year-oldand vice versa.
MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm Spotify WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz.MUSIC POPCORN
My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn's Every Noise at Once is the destination app for this sort of SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music fileTHE DROP MACHINE
I spent last weekend in Cannes, participating in the MIDEM Hack Day – an event where music hackers from around the globe gather to hack on music. My hack is called The Drop Machine. It is a toy web app that plays nothing but the drops. GENDER SPECIFIC LISTENING One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is very difficult because EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Earlier this week we looked at how gender can affect music listening preferences. In this post, we continue the tour through demographic data and explore how the age of the listener tells us something about their music taste. Where does the age data come from? As part of the enrollment process for most music services, theMUSIC MACHINERY
A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers.DEMOGRAPHICS
Rdio Version. Finding the most distinctive artists. Perhaps more interesting than looking at how the two ages overlap in listening, is to look at how they differ – what are the artists that a 64-year-old will listen to that are rarely, if ever, listened to by a 13-year-oldand vice versa.
MUSIC APIS | MUSIC MACHINERY Here's a categorized list of all the Music APIs. Notice one that is missing or miscategorized? Let me know. Music Metadata ArtistLink Decibel Discogs FreeDB Gracenote Last.fm MusicBrainz MusicStory Nokia OneMusicAPI OpenAura Rockol Rovi Spotify The Echo Nest Discovery / Playlisting 8tracks Bandcamp The Hype machine Last.fm Playlists.net plug.dj Rovi Setlist.fm Shuffler.fm Spotify WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that SIX DEGREES OF BLACK SABBATHMy hack at last
week’s Music Hack Day San Francisco was Six Degrees of Black Sabbath – a web app that lets you find connections between artists based on a wide range of artist relations. It is like The Oracle of Bacon for music. To make the connections between the artists I rely on the relation data from MusicBrainz.MUSIC POPCORN
My Music Hack Day Chicago music hack is Music Popcorn. It is a visualization of the music space that lets you explore and learn about the many different music genres. Yes, this is well trod territory. Glenn's Every Noise at Once is the destination app for this sort of SHAZAM | MUSIC MACHINERY This week, The Echo Nest released Echoprint – an open source music fingerprinting and identification system. A fingerprinting system like Echoprint recognizes music based only upon what the music sounds like. It doesn’t matter what bit rate, codec or compression rate was used (up to a point) to create a music file, nor does it matter what sloppy metadata has been attached to a music fileTHE DROP MACHINE
I spent last weekend in Cannes, participating in the MIDEM Hack Day – an event where music hackers from around the globe gather to hack on music. My hack is called The Drop Machine. It is a toy web app that plays nothing but the drops. GENDER SPECIFIC LISTENING One of the challenges faced by a music streaming service is to figure out what music to play for the brand-new listener. The first listening experience of a new listener can be critical to gaining that listener as a long time subscriber. However, figuring out what to play for that new listener is very difficult because EXPLORING AGE-SPECIFIC PREFERENCES IN LISTENING Earlier this week we looked at how gender can affect music listening preferences. In this post, we continue the tour through demographic data and explore how the age of the listener tells us something about their music taste. Where does the age data come from? As part of the enrollment process for most music services, the ABOUT | MUSIC MACHINERY The world of online music is growing rapidly. Every day, thousands of new tracks by new artists are uploaded to the Internet. Soon all recorded music will be online and available for you to listen to anywhere at any time, on any device. However, this seemingly endless supply of new music creates a problem for MUSIC | MUSIC MACHINERY A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog Duke Listens! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. DATA | MUSIC MACHINERY The Spotify Web API team pushed out a new feature recently that extends the search API to include playlist search. With this new feature it is now possible to search across all of the popular public playlists created by Spotify users. PLAYLIST | MUSIC MACHINERY Over the past few weekends I’ve been working on a little side project called the Playlist Builder Library (or PBL for short). The Playlist Builder Library is a Python library for creating and manipulating playlists. WHO ARE THE DEEPEST ARTISTS? Looking at the full list we see jam bands like Phish and Grateful Dead, AOR staples like Pink Floyd and David Bowie.. I’ve built a list of a little over 500 of the Deepest Artists.These are artists that have a deepness score of 50% or greater – meaning that VISUALIZING THE STRUCTURE OF POP MUSIC The Infinite Jukebox generates plots of songs in which the most similar beats are connected by arcs. I call these plots cantograms. For instance, below is a labeled cantogram for the song Rolling in the Deep by Adele. The song starts at 3:00 on the circle and proceeds clockwise, beat by beat completely around the HOTTTNESSS | MUSIC MACHINERY Posts about hotttnesss written by Paul. In his spare time, Echo Nest developer Reid Draper built hotttnesss.com – a neat web app that shows the top 50 hotttest artists (according to the Echo Nest get_top_hottt_artists) along with sparklines showing the historical hotttnesss for the last week. Reid used the nifty jquery sparklines plugin to make it happen. THE SKIP | MUSIC MACHINERY The following plot shows the average skipping behavior for millions of listeners and billions of plays. The plot shows the rather steep drop off in listeners in the early part of a song when most listeners are deciding whether or not to skip the song. THE MILLION SONGS OF CHRISTMAS The songs in green are the songs that are unique to each list. Artists with the most number of unique songs Bing Crosby is at the top of the Most Christmasy artists mainly because of the widespread re-issuing ofWhite Christmas.
IS MUSIC GETTING MORE PROFANE? This post has profanity in it. If you don't like profanity, skip this post and instead just look at this picture of a cat. Otherwise, scroll on down to read about the rise and fall of profanity in music. Now, on to the profanity It seems that every year the amount of profanity a blog about music technology by Paul LamereMUSIC MACHINERY
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MY FAVORITE BLOG POST OF ALL TIME Posted by Paul in Music on September 9, 2020 I’ve been reading blogs seemingly forever. I’ve read lots of great posts .. but there’s one blog post that I still think about all the time even though it is nearly 5 years old. It’s by Sascha Judd and its all boy bands and the diversity crisis in tech. It’s a must read: How The Tech Sector Could Move InOne Direction .
_The gendered aspect of it kept bugging me. It seemed like it was okay to be hysterical about some things, but not other_s. Someday I may get back to organizing tech events – and when I do, I’ll be thinking about better ways to engage with fan armies.Leave a comment
DUKE LISTENS! RETURNS (AGAIN) Posted by Paul in Music on September 7, 2020 A few months ago, we finally shutdown the final remnants of the old Echo Nest infrastructure. One of casualties of this final shutdown was the archive of my old blog DUKE LISTENS! that I authored while I was a researcher at Sun Labs. However, I did manage to have a backup sitting on an old backblaze disk, so this morning I took a bit of time to re-host it on one of my personal servers. You can find it at: http://dukelistens.playlistmachinery.com/ The blog serves as a reminder of the history of music recommendation and discovery during the iPhone era. Some notable posts: * My first MIR-related post (June 2004) * My first hardcore MIR post (January 2005) * A decade too early prediction about Apple (January 2005) * I discover Radio Paradise (April 2005) * First Google Music rumor (June 2005) * First Amazon Music rumor (August 2005) * First Pandora Post (September 2005) * First mention of The Echo Nest (October 2005) * Why there’s no Google Music search (December 2005) * First mention of Spotify (January 2007) * My review of Spotify (November 2007) * The Echo Nest goes live (March 2008) * The Echo Nest launches their API (September 2008) * My first look at iTunes genius recommendations (September 2008) * My last post (February 2009) archive , duke listens, Music
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THE WORLD’S FIRST MACHINELEARNING-ENABLED MUSICAL KEYBOARD !?!Posted by Paul in
generative music
, Music
on December 2, 2019
Today Amazon released AWS DeepComposer which is a keyboard that will let you “create a melody that will transform into a completely original song in seconds”. To me it looks like an Arturia Keystep knock-off. I’m still puzzling over whether or not there’s any special ML-related features – or is it just a MIDI keyboard that comes with some AWS credits. Anyone with any insights, please let me know.1 Comment
HOW GENERATIVE MUSIC WORKSPosted by Paul in
generative music
, Music
on December 2, 2019
Tero Parvianen has en excellent introduction to Generative Music with lots of live examples. Well worth 20 minutes of your time with lots offood for thought.
How Generative Music WorksLeave a comment
MUSIC MACHINERY CHAPTER 2Posted by Paul in
generative music
, Music
, synthesis
on December 2, 2019
I’ve spent the last 15 or so years thinking mostly about the machinery that gets music from the bits in an audio recording into the ears of a listener. There are dozens of examples of tools for music discovery, organization and listening in the sidebar at the right on this blog. But lately I’ve been thinking quite a bit more about the machinery that goes into getting the bits into an audio recording in the first place. I’m particularly interested in two aspects of this: (1) music synthesis – the machinery that can create the sounds from scratch and (2) generative music – machinery that can generate the music from scratch. If you are interested in synthesis and generative music, feel free to follow along in Music Machinery Chapter 2. I’m a newbie at it all so pointers and guidance will be greatly appreciated.2 Comments
IS THIS THING ON … Posted by Paul in Musicon December 2, 2019
Woah, its been a while since I’ve posted to this blog (three and a half years to be exact). I think it’s time for a bit of a reboot on this blog. Stay tuned!2 Comments
GIRL TALK IN A BOX UPDATE Posted by Paul in Musicon April 30, 2016
I’ve
pushed out some updates to GirlTalkInABox – there are now some nifty filters (chorus, phaser, delay and wahwah), and you can interactively adjust the playback rate of the song. A few other minor changes as well to make live performances a little easier. Check it out atGirlTalkInABox .
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SMARTER PLAYLISTS – MY TOP TRACKS Posted by Paul in Musicon March 13, 2016
I’ve just added a new Smarter Playlists component called MY TOP TRACKS. This track source will generate a list of the top 50 tracks from your recent listening history. You can choose from 3 differenttime ranges:
* SHORT TERM – the last month or so * MEDIUM TERM – the last half year or so * LONG TERM – the last several years The component configuration looks like this: Here’s an example program using the new component to surface up tracks that I’ve listened to a lot in the past that haven’t been getting a lot of play time in thelast half-year.
Feel free to try out the new component and send me feedback via thegoogle group
.
_update – to use the new component, you will need to logout and then log back into SmarterPlaylists to grant it the extra permissions it needs to read your recent play history._2 Comments
MOST POPULAR SMARTERPLAYLISTS COMPONENTS Posted by Paul in Music on February 27, 2016 As of this morning, there have been 1,363 SmarterPlaylist programs written. Currently there are 300 SmarterPlaylist jobs running periodically. I was wondering what were the most popular components, so I took inventory by looking at all of those 1,363 programs to see which components were used the most often. Here’s the list: 4046 SpotifyPlaylist1276 Sample
709 EchoNestGenreRadio673 Concatenate
563 DeDup
499 PlaylistSave
455 Shuffler
441 TrackFilter
394 EchoNestArtistRadio325 comment
248 Sorter
225 RelativeDatedSpotifyPlaylist222 MySavedTracks
218 ArtistTopTracks
217 Alternate
200 PlaylistSaveToNew194 LongerThan
155 EchoNestArtist
141 First
129 AlbumSource
125 DatedSpotifyPlaylist117 Mixer
116 ReleaseDateFilter111 Danceable
108 SeparateArtists
89 MyFollowedArtists 82 AttributeRangeFilter79 RandomSelector
77 Energy
72 Tempo
69 ArtistDeDup
68 ArtistFilter
56 Explicit
42 MixIn
39 MySavedAlbums
37 IsDayOfWeek
30 TrackSourceByName 25 SimpleArtistFilter24 AllButTheFirst
20 ArtistSeparation
19 Weighted Shuffler19 ShorterThan
18 Spoken Word
16 TrackSource
12 RandomStreamSelector10 Last
5 IsWeekend
4 Live
4 AllButTheLast
4 YesNo
3 Annotator
3 Reverse
1 TextFilter
The big surprises for me were to see how often the Echo Nest Artist and Genre radio are being used, and even after being around for only a week, how often the RelativeDatedSpotifyPlaylist is being used.Leave a comment
TITLE FILTERING IN SMARTERPLAYLISTS Posted by Paul in Music on February 27, 2016 This morning I added a ‘title filter’ component to SmarterPlaylists. This component lets you filter tracks based on regex string matching of the track title. This is useful for filtering out certain types of track – such as remixes, radio edits or songs with9 in the title
.
The _title filter _allows you to invert the sense of the filter, and makes it easy to ignore case in your matches as well: Using this filter we can take our favorite dubstep playlist and eliminate all the radio edits. To try this yourself, you can import the program.
Thanks to Drew Davidson for the component suggestion.Leave a comment
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