一种抗说话人应力的HMM孤立词识别器

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1987-04-06 DOI:10.1109/ICASSP.1987.1169551

D. Paul

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引用次数: 59

摘要

目前大多数语音识别系统对说话人风格的变化都很敏感，下面是一个隐马尔可夫模型孤立词识别器(IWR)的研究成果，该模型可以容忍说话人压力引起的这种语音变化。对于105个单词的模拟应力数据库，错误率降低了一个数量级以上，对于TI 20孤立单词数据库，错误率达到了0%。

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A speaker-stress resistant HMM isolated word recognizer

Most current speech recognition systems are sensitive to variations in speaker style, the following is the result of an effort to make a Hidden Markov Model (HMM) Isolated Word Recognizer (IWR) tolerant to such speech changes caused by speaker stress. More than an order-of-magnitude reduction of the error rate was achieved for a 105 word simulated stress database and a 0% error rate was achieved for the TI 20 isolated word database.

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ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing

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