有混响条件下的室内语音定向技术的研究

Study on speech localization technique in a reverberation room

文章讨论了一种新的基于回波分离算法的改进算法 ,并将其应用于室内有较强混响干扰下的语音定向。算法在有效语音片段检出时 ,不仅采用了回波估计 ,还同时考虑了语音特征 ,最后利用数字波束形成法来计算检出的有效语音片段的方位角 ,并且 ,回波估计是在语音短时能量分析的基础上进行的。试验表明 。

In this paper an improved algorithm based on echo separation is discussed. This algorithm not only uses echo estimation method but also takes the speech characteristics into account when the effective speech segment is separated. A beam-forming method is used to calculate the azimuth of the effective speech segment, and echo estimation is based on a short time energy analysis. The results show that the localization accuracy obtained is very close to that of the human ear.