Comments (7)
That is a great point! Generative models tend to perform poorly with objective metrics like PESQ, POLQA or VISQOL, even if perceptually they sound good, because they aren't optimized to maintain certain alignment or phase. And Lyra is no exception of this rule. Please see section 3.3 and table 1 on our 2017 paper.
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I do not have the MOS test box now, I will comment here if I figure out a way to measure it.
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It is awesome that you integrated Lyra into WebRTC for real-time calls. However, those MOS scores seem very low compared to what we experience in our WebRTC calls. Does the audio on these calls sound reasonable compared to when running a file through it? I just want to rule out some integration issue.
Regardless, in the meantime we are working on improving Lyra's quality and will share it as soon as we have something.
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My subjective listening is good, the audio is clear and sound good. Is the Lyra algorithm not friendly with the PESQ algorithm or kind of this issue?
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Our listening tests show that the Lyra 1.2.0 release improves quality significantly, but I am guessing that the MOS score would still be low, since it is also based on a generative model.
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@pyu1538 Hi, Yu, just curious how the Lyra2 runs on a phone call now, since it only supports 3 bitrates , 3200, 6000, 9200. Most of the calls have higher bitrates if opus is used. Thanks.
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I am assuming you have seen our blog post, but just to summarize: From our MUSHRA listening tests, [email protected] has similar quality than Opus@10k, LyraV2@6k has similar quality than Opus@13k, and [email protected] has similar quality than Opus@14k. But I agree that many calls use Opus at higher bitrates, like 32kbps, and there LyraV2 as it is today won't be able to compete.
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Related Issues (20)
- MacOS 13.0.1 build: symbol not found in flat namespace '_CFRelease'
- the problem about building v0.0.2 version
- bazel build -c opt lyra/cli_example:encoder_main error on 20.04-Ubuntu
- Can't we directly encode pcm? HOT 3
- Noisy audio
- Can the model size be cut? HOT 1
- Is there any plan to make this lib work on older android devices? HOT 2
- Linux build HOT 1
- ANDROID BUILD HOT 1
- Can't load TFLite output_details for quantizer model (encode) HOT 3
- When will lyra support ios platform? HOT 1
- The decoding CPU is too high. Is there any way to reduce it?
- model structure of lyra 1.3.2
- About crash problem with kInternalSampleRateHz set to 32k
- Android app built as per readme crashes (on Samsung S23) HOT 1
- how to read the encoded data in the sample1_16kHz.lyra file into python/numpy array?
- Directly provide the executable download address HOT 3
- Is that possible to release the model coeffs with codebook size=1024?
- Is it possible to still run the V1 model with the latest API? Or only V2
- LMCodec HOT 2
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