Efficient Acoustic Parameters for Speaker Recognition
Efficient Acoustic Parameters for Speaker Recognition
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DOI：
10.1121/1.1913065
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发表时间：
1972-06
影响因子：
2.4
通讯作者：
J. Wolf
中科院分区：
文献类型：
--
作者：
J. Wolf
在对说话人进行机械识别的方案中，希望使用与区分说话人的语音特征密切相关的声学参数。本文描述了一种选择这些参数的有效方法的研究，这些参数是由语音信号与声道形状和手势之间的已知关系所激发的。而不是对话语程度的一般测量，只使用选定片段的重要特征。通过手动定位话语中的语音事件，并使用在这些位置测量的参数对说话人进行分类，模拟了说话人识别系统。在基本频率、元音和鼻辅音频谱特征、声门源频谱斜率估计、单词持续时间和声音开始时间中发现了有用的参数。这些参数使用简单的线性分类程序在说话人识别范式中进行了测试。当只使用17个这样的参数时，没有错误…
In a scheme for the mechanical recognition of speakers, it is desirable to use acoustic parameters that are closely related to voice characteristics that distinguish speakers. This paper describes an investigation of an efficient approach to selecting such parameters, which are movitated by known relations between the voice signal and vocal‐tract shapes and gestures. Rather than general measurements over the extent of an utterance, only significant features of selected segments are used. A simulation of a speaker recognition system was performed by manually locating speech events within utterances and using parameters measured at these locations to classify the speakers. Useful parameters were found in fundamental frequency, features of vowel and nasal consonant spectra, estimation of glottal source spectrum slope, word duration, and voice onset time. These parameters were tested in speaker recognition paradigms using simple linear classification procedures. When only 17 such parameters were used, no erro...