Comments (3)
- Currently our file tools only support reading and writing wav files. There is no plan to support any other formats to not bloat our implementation. You can always first convert the mp4 to wav using ffmpeg or any other tool.
- We don't have a set release date.
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Hi shoham5,
Please see my answers below.
- You are right, Lyra does not care about the source sample rate, because it resamples the input to 16kHz regardless.
- Yes, the quality discrepancy with the blog post samples is because model used there was a newer generation. We are working on releasing a higher quality model here. For more details, please check out issue #25.
- Agreed that objective metrics like POLQA and PESQ are not well-suited to evaluate quality of generative models. We have been evaluating our models using listening tests like MOS or MUSHRA.
Hope that answers your questions. Please let me know if you have any follow-ups.
from lyra.
Thank you for the detailed answers.
Actually I have some questions
- I tried encoding an mp4 file like the one in Google blog. but Lyra can't handle this file type.
"ABORTED: Failed to read from wav at path"
Is there any plan to support this in the next generation? - Is there an expected release date?
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Related Issues (20)
- 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
- Build fails on MacOS due to bad Tensorflow link HOT 1
- Noise is being added to generated speech in Python E2E flow (TFLite Models)
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