稳健语音识别技术发展现状及展望  

Development and Prospect of Robust Speech Recognition

作　　者：姚文冰[1] 姚天任[1] 韩涛[1] 

机构地区：[1]华中科技大学电子与信息工程系,武汉430074

出　　处：《信号处理》2001年第6期484-484,共1页Journal of Signal Processing

摘　　要：本文在简单叙述稳健语音识别技术产生的背景后，着重介绍了现阶段国内外有关稳健语音识别的主要技术、研究现状及未来发展方向。首先简述引起语音质量恶化、影响语音识别系统稳健性的干扰源及其影响。然后分别介绍语音增强、稳健语音特征的提取、基于特征和模型的补偿技术、麦克风阵列、基于人耳的听觉处理及听觉视觉双模态语音识别等技术路线及发展现状。最后讨论稳健语音识别技术未来的发展方向。This paper introduces the backgroud of the proposal of robust speech recognition, compares several differenct approaches to robust automatic speech recognition and the prospect future direction of robust speech recognition. The ongoing research in the use of acoustical pre-processing to achieve robust speech recognition is firstly reviewed. Approaches based on direct cepstral comparisons, on parametric models of environmental degradation, and on cepstral high-pass filtering are emphatically discussed and compared. The effectiveness of two complementary methods of signal processing for robust speech recognition: microphone array processing and the use of physiologically- motivated models of peripheral auditory processing are also described.

关 键 词：稳健语音识别 抗噪性 语音信号处理 语音增强技术 

分 类 号：TN912.34[电子电信—通信与信息系统]