FocalCodec-Stream: Streaming Low-Bitrate Speech Coding via Causal Distillation
About
Neural audio codecs are a fundamental component of modern generative audio pipelines. Although recent codecs achieve strong low-bitrate reconstruction and provide powerful representations for downstream tasks, most are non-streamable, limiting their use in real-time applications. We present FocalCodec-Stream, a hybrid codec based on focal modulation that compresses speech into a single binary codebook at 0.55 - 0.80 kbps with a theoretical latency of 80 ms. Our approach combines multi-stage causal distillation of WavLM with targeted architectural improvements, including a lightweight refiner module that enhances quality under latency constraints. Experiments show that FocalCodec-Stream outperforms existing streamable codecs at comparable bitrates, while preserving both semantic and acoustic information. The result is a favorable trade-off between reconstruction quality, downstream task performance, latency, and efficiency. Code and checkpoints will be released at https://github.com/lucadellalib/focalcodec.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Speech Reconstruction | Librispeech (test-clean) | UT MOS2.9772 | 59 | |
| Neural Audio Compression | LibriSpeech (test-other) | WER9.34 | 10 | |
| Speech Coding | TITW Hard (test) | dWER20.23 | 10 | |
| Speech Reconstruction | MLS (Multilingual LibriSpeech) Non-English (test) | WER11.48 | 9 | |
| Audio Coding | Audio 16kHz 22kHz (test) | Bitrate (kbps)0.8 | 8 |