基于多波段处理的电话信道关键字识别系统设计

Sun Shi-chao, Ji Li-xin, Liu Han-bing
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引用次数: 1

摘要

人类的语音感知是基于窄信道的,而不是基于整个频带的。根据人类语音感知的基础,在语音识别系统中引入多波段处理,提高系统的鲁棒性。为了提高语音特征的可判别性,从而提高系统的性能,本文尝试使用独立分量分析(ICA)将已有的语音特征转换到另一个特征空间中。在电话信道上的实验表明,该系统对窄带噪声具有较强的鲁棒性,识别率明显提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Keyword Recognition System over Telephone Channel Based on Multi-band Processing
Human speech perception is based on narrow frequency channels, not on whole frequency band. According to the keystone of Human speech perception, the paper introduces multi-band processing into speech recognition system to improve robust. In order to improve the discriminability of speech feature, so as to improve performance of the system, the paper attempts to use independent component analysis (ICA) to transform existing speech feature into another feature space. Experiments over telephone channel show that this system can improve robust to narrow band noises and increase recognition rate obviously.
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