Meta 发布 Muse Voice Transcribe 实时语音模型
Muse Voice Transcribe is an autoregressive multimodal LLM from the Muse Spark family.
AI 导读
Muse Voice Transcribe 是 Muse Spark 系列的自回归多模态 LLM。 音频以 80ms 分块（12.5 Hz）处理，每块一个 token，模型在每个分块决定是继续听还是输出文本。 结合词错误率和延迟奖励的 RL 赋予其自适应延迟：在难词上等待更久，在易词上更早确定，逐词权衡准确率与延迟。
正文
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Muse Voice Transcribe is an autoregressive multimodal LLM from the Muse Spark family.
Audio is processed in 80ms chunks (12.5 Hz), one token each, and at every chunk the model decides whether to keep listening or emit text.
RL with combined word error rate and delay rewards gives it adaptive delay: it waits longer on hard words and commits sooner on easy ones, trading accuracy against latency word-by-word.