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| 噪声鲁棒语音识别研究综述* | |
| 引用本文： | 雷建军,杨震,刘刚,郭军.噪声鲁棒语音识别研究综述*[J].计算机应用研究,2009,26(4):1210-1216. |
| 作者姓名： | 雷建军 杨震 刘刚 郭军 |
| 作者单位： | 1. 天津大学,电子信息工程学院,天津,300072 2. 北京工业大学,计算机学院,北京,100124 3. 北京邮电大学 |
| 基金项目： | 国家“863”计划重点资助项目（2006AA010102）；国家自然科学基金资助项目（60475007） |
| 摘 要： | 针对噪声环境下的语音识别问题，对现有的噪声鲁棒语音识别技术进行讨论，阐述了噪声鲁棒语音识别研究的主要问题，并根据语音识别系统的构成将噪声鲁棒语音识别技术按照信号空间、特征空间和模型空间进行分类总结，分析了各种鲁棒语音识别技术的特点、实现，以及在语音识别中的应用。最后展望了进一步的研究方向。 |
| 关 键 词： | 鲁棒语音识别 语音增强 特征补偿 模型补偿 |
Review of noise robust speech recognition |
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| LEI Jian-jun,YANG Zhen,LIU Gang,GUO Jun.Review of noise robust speech recognition[J].Application Research of Computers,2009,26(4):1210-1216. | |
| Authors: | LEI Jian-jun YANG Zhen LIU Gang GUO Jun |
| Affiliation: | (1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China; 2. College of Computer Science, Beijing University of Technology, Beijing 100124, China; 3. School of Information Engineering, Beijing University of Posts & Telecommunications, Beijing 100876, China) |
| Abstract: | According to the problems of speech recognition in adverse acoustical environments, this paper reviewed the state of the art of robust speech recognition, and expounded the main problems of noise robust speech recognition. Based on the structure of speech recognition system, classified and summarized robust speech recognition technologies into the signal-space, feature-space and model-space technologies, and outlined the main ideas of the approaches. Finally, pointed out the problems to be further studied and the trends of developments in this field. |
| Keywords: | robust speech recognition speech enhancement feature compensation model compensation |
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