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ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding
Neural audio codecs are a fundamental component of modern speech generation systems. While recent codecs achieve increasingly low bitrates, reducing frame rate remains challenging, as each token must preserve more information while maintaining reconstruction quality. We present ZipCodec, a streaming neural speech codec operating at 6.25 Hz and 0.80 kbps with a theoretical latency of 160 ms. Our approach combines large-scale WavLM distillation with a redesigned transformer-based architecture, a scalar spherical quantizer, and a latency-aware streaming decoder. Experiments show that ZipCodec sub
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T14:49:54.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.