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Coupled hidden Markov model (CHMM) for continuous audiovisual speech recognition

机译:耦合隐马尔可夫模型(CHMM)用于连续视听语音识别

摘要

Method and apparatus for an audiovisual continuous speech recognition (AVCSR) system using a coupled hidden Markov model (CHMM) are described herein. In one aspect, an exemplary process includes receiving an audio data stream and a video data stream, and performing continuous speech recognition based on the audio and video data streams using a plurality of hidden Markov models (HMMs), a node of each of the HMMs at a time slot being subject to one or more nodes of related HMMs at a preceding time slot. Other methods and apparatuses are also described.
机译:本文描述了用于使用耦合的隐马尔可夫模型(CHMM)的视听连续语音识别(AVCSR)系统的方法和装置。一方面,示例性过程包括:接收音频数据流和视频数据流;以及使用多个隐藏马尔可夫模型(HMM),每个HMM的节点,基于音频和视频数据流执行连续语音识别。在一个时隙中,一个时隙受相关HMM的一个或多个节点的约束。还描述了其他方法和装置。

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