鲁棒语音识别技术综述

Review of robust speech recognition

鲁棒语音识别是为了解决噪声环境所引起的语音识别系统识别和训练不匹配的情况.依据噪声对语音识别系统的影响,从信号空间、特征空间及模型空间3个层面上分别对语音增强技术、特征增强技术及语音模型补偿、增强技术进行了总结,并分析了不同方法的特点、实现及应用.

To solve the mismatch between the training and recognition environment, some robust speech recognition methods were proposed. Based on the influence of noise on Automatic Speech Recognition （ASR） system, some classified and summarized robust speech recognition technologies in the aspects of speech enhancement, feature enhancement and model compensation ／ enhancement aiming at the signals space, feature space and model space of ASR system were presented in this paper. Furthermore, some main ideas of these approaches were analyzed.