
SNAC, a novel neural audio codec employing multi-scale residual vector quantization, achieves superior audio compression efficiency compared to existing codecs, particularly at lower bitrates, by adapting to the inherent hierarchical structure of audio signals.


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SNAC: A Multi-Scale Neural Audio Codec with Improved Efficiency for Music and Speech Compression


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ESC, a lightweight and parameter-efficient neural speech codec, achieves high audio quality through the integration of cross-scale residual vector quantization and efficient Swin Transformer blocks, outperforming existing state-of-the-art codecs in both reconstruction quality and computational complexity.


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Efficient Speech Codec with Cross-Scale Residual Vector Quantized Transformers
