基于改进啁啾群延迟的声道响应估计算法

M. Jayesh, C. S. Ramalingam
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引用次数: 3

摘要

我们提出了一种优于Bozkurt啁啾群延迟法[1]及其零相位变体[2]的声道估计方法。啁啾群延迟方法仅适用于发声语音,严重依赖于找到声门关闭瞬间(GCI),当包括两个以上的音高周期进行分析时,性能会恶化,并且不适用于非发声语音。零相位变体消除了这些缺点,但对于鼻音效果不佳。在我们提出的方法中,在计算啁啾群延迟之前,所有单位圆外的零都在内部反射。其优点是:(a)不需要GCI知识,(b)声道估计对分析窗口的位置和持续时间的敏感性要低得多,(c)适用于不发音的声音,(d)可以很好地捕获鼻音的频谱谷,从而提高识别精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved chirp group delay based algorithm for estimating the vocal tract response
We propose a method for vocal tract estimation that is better than Bozkurt's chirp group delay method [1] and its zero-phase variant [2]. The chirp group delay method works only for voiced speech, is critically dependent on finding the glottal closure instants (GCI), deteriorates in performance when more than two pitch cycles are included for analysis, and does not work for unvoiced speech. The zero-phase variant eliminates these drawbacks but works poorly for nasal sounds. In our proposed method all outside-unit-circle zeros are reflected inside before computing the chirp group delay. The advantages are: (a) GCI knowledge not required, (b) the vocal tract estimate is far less sensitive to the location and duration of the analysis window, (c) works for unvoiced sounds, and (d) captures the spectral valleys well for nasals, which in turn leads to better recognition accuracy.
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