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> I can link to a handful of recent high-impact audio ML github repos if you like Yes please :D
by codetrotter 2y ago
> I can link to a handful of recent high-impact audio ML github repos if you like
Yes please :D
- bravura 2y agoFor instance: https://github.com/descriptinc/descript-audio-codec/blob/main/dac/nn/loss.py#L142 https://github.com/descriptinc/descript-audio-codec/blob/mai... https://github.com/NVIDIA/BigVGAN/blob/main/loss.py#L23 https://github.com/NVIDIA/BigVGAN/blob/main/loss.py#L23 https://arxiv.org/pdf/2210.13438 https://arxiv.org/pdf/2210.13438 (the github repo doesn't include training, just inference) It is INCREDIBLY common to use multi-scale spectral loss as the audio distance / objective measure in audio generation. They have some issues (i.e. they aren't always well correlated with human perception) but they are the known-current-best.