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一种基于噪声模型的语音/噪声分类方法
引用本文:吴边,任晓林,刘重庆,张亚昕.一种基于噪声模型的语音/噪声分类方法[J].上海交通大学学报,2004,38(9):1528-1531.
作者姓名:吴边  任晓林  刘重庆  张亚昕
作者单位:1. 上海交通大学,图像处理与模式识别研究所,上海,200030
2. 摩托罗拉中国研究中心,上海,200041
摘    要:提出了一种可用于嵌入式ASR系统的语音/噪声分类的新方法,该方法利用一个噪声模型,对每帧信号的评价值进行语音/噪声分类.实验表明,该方法可以有效地区分语音和噪声,并表现出在各种噪声环境和不同信噪比条件下的鲁棒性.该算法已经集成进一个ASR系统,并在Corn-paq iPAQ上进行了测试,其计算代价不到整个系统代价的10%.

关 键 词:语音识别  语音/噪声分类  噪声鲁棒性
文章编号:1006-2467(2004)09-1528-04
修稿时间:2003年9月2日

A Noise Model Based Method for Speech/Noise Discrimination
WU Bian,REN Xiao-lin,LIU Chong-qing,ZHANG Ya-xin.A Noise Model Based Method for Speech/Noise Discrimination[J].Journal of Shanghai Jiaotong University,2004,38(9):1528-1531.
Authors:WU Bian  REN Xiao-lin  LIU Chong-qing  ZHANG Ya-xin
Institution:WU Bian~1,REN Xiao-lin~2,LIU Chong-qing~1,ZHANG Ya-xin~2
Abstract:A robust method suitable for embedded automatic speech recognition(ASR) system was proposed to distinguish speech signals from noise signals. The method is based on a noise model, according to which a score is used to distinguish speech from noise. The experiments show that the method is effective in speech/noise discrimination and robust in various environments at any SNR. The algorithm has been employed as the front-end of an ASR system on Compaq iPAQ, and its cost is less than 10% of the ASR system.
Keywords:speech recognition  speech/noise discrimination  noise robustness  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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