How to encode audio with different settings? about descript-audio-codec HOT 8 CLOSED

Hey, thanks for the response!

I have tried between different numbers from 1 up to 9 (9 is the default setting if I am not mistaken) for n_quantizers. (--n_quantizers argument when encoding).

However, I cannot see any impact on the compressed .dac file, its size remains the same. I would expect the file size to change depending on the compression ratio. Am I missing something?

Cheers!

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@ekgren thank you for raising this issue!

@marypilataki

However, I cannot see any impact on the compressed .dac file, its size remains the same. I would expect the file size to change depending on the compression ratio. Am I missing something?

Yes, this was a bug on our end. We have release a new version that works as expected.

Please update your dac installation.

pip install descript-audio-codec==0.0.3

from descript-audio-codec.

@listener17 The default bitrate is 8kbps for the following command

python3 -m dac encode /path/to/input --output /path/to/output/codes

from descript-audio-codec.

Hello,

Thank you for providing your code!

Similar to ekgren, I was wondering how can I test different compression ratios and the impact on reconstruction quality.
My understanding is that the model needs to be retrained with a different setting for encoder and decoder rates (stride settings). Is that correct? If so, could you please provide more checkpoints for those different settings if available?

Thanks!
Mary

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Different compression ratios can be passed in via the n_quantizers argument here: https://github.com/descriptinc/descript-audio-codec/blob/main/dac/model/dac.py#L268. This would be for the pretrained model. We currently don't have any other checkpoints trained, though, with different strides, but they may come if we have time and resources to train them!

from descript-audio-codec.

Different compression ratios can be passed in via the n_quantizers argument here: https://github.com/descriptinc/descript-audio-codec/blob/main/dac/model/dac.py#L268. This would be for the pretrained model. We currently don't have any other checkpoints trained, though, with different strides, but they may come if we have time and resources to train them!

In the script in the github readme n_quantizers doesn't seem to change the compression ratio.

from dac.utils.encode import process as encode

# Encode audio signal
encoded_out = encode(signal, 'cuda', model, n_quantizers=n_quantizers)
print(encoded_out['codes'])

The codes returne are the same regardless of the number of n_quantizers put in.

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@ekgren @marypilataki: if I just run the encoder as:

python3 -m dac encode /path/to/input --output /path/to/output/codes

At what bitrate is it running? Did you figure that out?

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Great, thanks so much for the prompt response!

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