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TAK 2.3.1
2021-03-28 18:36:10 by TBeck | Views: 3984 | Comments: 31 ------------------------- Final release of TAK 2.3.1 ((T)om's lossless (A)udio (K)ompressor)It consists of:
- TAK Applications 2.3.1 - TAK Winamp plugin 2.3.1 - TAK Decoding library 2.3.1- TAK SDK 1.1.1
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LYRA: AI POWERED SPEECH CODEC FROM GOOGLE 2021-02-27 09:39:31 by birdie | Views: 724 | Comments: 2 -------------------------Quote
> Lyra is a high-quality, very low-bitrate speech codec that makes > voice communication available even on the slowest networks. To do > this, we’ve applied traditional codec techniques while leveraging > advances in machine learning (ML) with models trained on thousands > of hours of data to create a novel method for compressing and > transmitting voice signals.>
> Lyra Overview
> The basic architecture of the Lyra codec is quite simple. Features, > or distinctive speech attributes, are extracted from speech every > 40ms and are then compressed for transmission. The features > themselves are log mel spectrograms, a list of numbers representing > the speech energy in different frequency bands, which have > traditionally been used for their perceptual relevance because they > are modeled after human auditory response. On the other end, a > generative model uses those features to recreate the speech signal. > In this sense, Lyra is very similar to other traditional parametric > codecs, such as MELP.>
> However traditional parametric codecs, which simply extract from > speech critical parameters that can then be used to recreate the > signal at the receiving end, achieve low bitrates, but often sound > robotic and unnatural. These shortcomings have led to the > development of a new generation of high-quality audio generative > models that have revolutionized the field by being able to not only > differentiate between signals, but also generate completely new > ones. DeepMind’s WaveNet was the first of these generative models > that paved the way for many to come. Additionally, WaveNetEQ, the > generative model-based packet-loss-concealment system currently used > in Duo, has demonstrated how this technology can be used in > real-world scenarios.>
> A New Approach to Compression with Lyra > Using these models as a baseline, we’ve developed a new model > capable of reconstructing speech using minimal amounts of data. Lyra > harnesses the power of these new natural-sounding generative models > to maintain the low bitrate of parametric codecs while achieving > high quality, on par with state-of-the-art waveform codecs used in > most streaming and communication platforms today. The drawback of > waveform codecs is that they achieve this high quality by > compressing and sending over the signal sample-by-sample, which > requires a higher bitrate and, in most cases, isn’t necessary to > achieve natural sounding speech.>
> One concern with generative models is their computational > complexity. Lyra avoids this issue by using a cheaper recurrent > generative model, a WaveRNN variation, that works at a lower rate, > but generates in parallel multiple signals in different frequency > ranges that it later combines into a single output signal at the > desired sample rate. This trick enables Lyra to not only run on > cloud servers, but also on-device on mid-range phones in real time > (with a processing latency of 90ms, which is in line with other > traditional speech codecs). This generative model is then trained on > thousands of hours of speech data and optimized, similarly to > WaveNet, to accurately recreate the input audio.>
> Comparison with Existing Codecs > Since the inception of Lyra, our mission has been to provide the > best quality audio using a fraction of the bitrate data of > alternatives. Currently, the royalty-free open-source codec Opus, is > the most widely used codec for WebRTC-based VOIP applications and, > with audio at 32kbps, typically obtains transparent speech quality, > i.e., indistinguishable from the original. However, while Opus can > be used in more bandwidth constrained environments down to 6kbps, it > starts to demonstrate degraded audio quality. Other codecs are > capable of operating at comparable bitrates to Lyra (Speex, MELP, > AMR), but each suffer from increased artifacts and result in a > robotic sounding voice.>
> Lyra is currently designed to operate at 3kbps and listening tests > show that Lyra outperforms any other codec at that bitrate and is > compared favorably to Opus at 8kbps, thus achieving more than a 60% > reduction in bandwidth. Lyra can be used wherever the bandwidth > conditions are insufficient for higher-bitrates and existing > low-bitrate codecs do not provide adequate quality.Source
It looks like this is no longer an audio "codec" - it's basically the AI to recognize speech and synthesize it which is simply amazing. Perhaps future video codecs will work similarly. NVIDIA has already created a working AI powered video codec for video conferences which requires a much lower bitrate than standard codecs.Read More
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EXACT AUDIO COPY V1.6 2020-11-10 23:51:54 by korth | Views: 3440 | Comments: 4 ------------------------- Exact Audio Copy v1.6 releasedHomepage
http://www.exactaudiocopy.de/Download
http://www.exactaudiocopy.de/en/index.php/resources/download/Changelog:
Quote
> - Standard setup now using gnudb.org instead of freedb.org (for > built-in engine) > - Several small problems with secondary encoder > - Fixed problems with the Musicbrainz plugin > - Several smaller bugs removedNo new features.
Issue "Replace spaces by underscores" (Filename and AdditionalFilename tab)
https://hydrogenaud.io/index.php?msg=980398 was one of the bugs addressed.Read More
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