新闻
Compressing Streaming Neural Audio Encoders via Latent-Space Distillation
Apple Machine Learning Research · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Apple researchers compressed speech tokenizers for on-device dictation using latent-space distillation, achieving 2.8x compression with minimal accuracy loss.
- 为何重要
- Matters for engineers building always-on speech systems where memory and power consumption directly impact device performance and battery life.
- 注意
- Results shown on specific teacher-student pairs; generalization to other architectures or languages not discussed in the abstract provided.
- language model
- foundation model
- encoder
- distill
- latency
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