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аналитика - Neural Audio Compression
SNAC: A Multi-Scale Neural Audio Codec with Improved Efficiency for Music and Speech Compression
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.
Efficient Speech Codec with Cross-Scale Residual Vector Quantized Transformers
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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