Stream weight optimization method of multi stream HMMs
多数据流隐马尔可夫模型的流权值优化方法*

This paper proposed a novel stream-weight optimization method based on the likelihood-ration maximization criterion and the N-best algorithm. The proposed method had advantages that not only computational complexity was significantly reduced, but also audio-visual speech recognition performance was significantly improved by using a small optimization data set. Further experimental results demonstrate that the audio-visual speech recognition system provides significant enhancement of robustness in noisy environments.