Layer-specific compression in neural codecs reduces computational overhead by letting different quantization layers compress at their own optimal rates, improving efficiency without sacrificing quality.
This paper introduces LACE, a neural audio codec that compresses speech at different rates for each quantization layer rather than using a single compression step. By allowing each layer to have its own segmentation boundaries, LACE reduces sequence length and computational cost while maintaining audio quality.