Quantizing an intermediate layer of a pretrained audio model with residual vector quantization, and finetuning the model with task and codebook losses, preserves ASR and audio classification accuracy at bitrates near 200-500 bps.
High- fidelity audio compression with improved RVQGAN,
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Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine
Quantizing an intermediate layer of a pretrained audio model with residual vector quantization, and finetuning the model with task and codebook losses, preserves ASR and audio classification accuracy at bitrates near 200-500 bps.