Voiced-unvoiced-silence detection using the Itakura LPC distance measure
Voiced-unvoiced-silence detection using the Itakura LPC distance measure
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DOI：
10.1109/icassp.1977.1170330
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发表时间：
1977-05
期刊：
影响因子：
--
通讯作者：
L. Rabiner;M. Sambur
中科院分区：
文献类型：
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作者：
L. Rabiner;M. Sambur
语音分析中最困难的问题之一是可靠地区分无声、清音和通过电话线传输的有声语音。尽管已经提出了几种方法来做出这种三级决策，但这些方案仅取得了一定的成功。本文提出了一种解决浊音-清音-静音检测问题的新方法，其中在训练过程中获得三类信号中每一类信号的频谱特征，并将 LPC 距离度量和能量距离非线性组合以进行最终区分。该算法已在传统的交换电话线上、在各种扬声器上进行了测试，发现错误率约为 5%，其中大部分错误（约 2/3）发生在信号类别之间的边界处。该算法目前被用于与说话人无关的单词识别系统中。
One of the most difficult problems in speech analysis is reliable discrimination among silence, unvoiced speech, and voiced speech which has been transmitted over a telephone line. Although several methods have been proposed for making this 3-level decision, these schemes have met with only modest success. In this paper a novel approach to the voiced-unvoiced-silence detection problem is proposed in which a spectral characterization of each of the 3 classes of signal is obtained during a training session, and an LPC distance metric and an energy distance are nonlinearly combined to make the final discrimination. This algorithm has been tested over conventional switched telephone lines, across a variety of speakers, and has been found to have an error rate of about 5%, with the majority of the errors (about 2/3) occurring at the boundaries between signal classes. The algorithm is currently being used in a speaker independent word recognition system.