摘要
语音识别和控制环境中,非语音信号(噪音)很容易与语音信号相混淆,一部分噪音被机器误认为语音,导致系统性能恶化.针对这一问题,以说话人识别理论为基础,提出了一种采用矢量量化来对音频信号类型(噪音或语音)进行确认的方法,以便于后期对非语音信号的噪音进行鉴别并且予以消除,提高语音信号处理系统的工作效率.在此基础之上,在MATLAB平台上设计了一个基于此方法的语音与非语音识别的仿真系统.测试结果表明,系统实现了语音与非语音识别的基本功能,达到较好的工作效果.
Among the environment of speech recognition and control, the non-speech signal(noise) was very easy to confuse with speech signal, apart of noise could be mistaken for speech result inthe deteriorate of system. To solve this problem, this article based on the theory of speaker recognition, a method with vector quantization is pres- ented to confirm the type of audio signal, so that to distinguish the non-speech signal and eliminate it later, adwance the system' s work efficiency. This article has designed a simulation system based on matlab. The results show that this system realized the basic function of distinguish the non-speech signal and speech signal, reached ideal effect.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2010年第1期108-111,共4页
Journal of Harbin University of Science and Technology