该文研究了基于数据模拟方法和HMM（隐马尔科夫模型）自适应的电话信道条件下语音识别问题。

This paper addresses the problem of speech recognition under telephone channel conditions using data simulation method and HMM(Hidden Markov Model)adaptation.

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实验结果表明：对来自随机信道的说话人语音，第1名和前30名的正确识别率，与实验室基线系统的性能比较，分别提高了5.4%和18.6%。

The test results show that the correct recognition rate of the first speaker is 5.4%, and for the top 30 speakers is 18.6% better than the base line system.

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自适应滤波广泛应用于系统识别、信号分离、信道均衡以及回声抵消等领域。

Adaptive filtering is widely used in system identification, signal separation, channel equalization and echo cancellation and other fields.

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