Gender recognition from speech. Part I: Coarse analysis.
Gender recognition from speech. Part I: Coarse analysis.
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DOI：
10.1121/1.401663
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发表时间：
1991-10
期刊：
影响因子：
--
通讯作者：
Ke Wu;D. Childers
中科院分区：
文献类型：
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作者：
Ke Wu;D. Childers
本研究的目的是探讨数字语音处理和模式识别技术的潜在有效性的自动识别的性别从语音片段。在本文中，“粗”声学系数（自相关，线性预测，倒谱，和反射）被用来形成测试和参考模板元音，浊摩擦音，清音摩擦音。不同的距离措施，过滤器的顺序，识别方案，元音和摩擦音的效果进行了比较评估，以确定其有效性的任务，从语音片段的性别识别。实验结果表明，大多数声学参数都能很好地用于性别识别。性别内和受试者内平均技术对于生成适当的测试和参考模板非常重要。欧几里德距离测量似乎是最强大的，以及最简单的距离测量。从这项研究的结果表明，性别信息是时不变的，音素无关，和扬声器独立于一个给定的性别。一个识别方案实现了100%正确的扬声器性别分类的数据库中的52个谈话者（27名男性和25名女性）。在本文件第二部分[D. G. Childers和K. Wu，J. Acoust.美国社会90，1841-1856（1991）;以下简称论文II]的详细特征，似乎负责区分说话人的性别进行了统计检查。包括在文件二是一个复制的一部分，经典的研究彼得森和巴尼[J。美国社会24，175-184（1952）]的元音特征。
The purpose of this research was to investigate the potential effectiveness of digital speech processing and pattern recognition techniques for the automatic recognition of gender from speech segments. In this paper "coarse" acoustic coefficients (autocorrelation, linear prediction, cepstrum, and reflection) were used to form test and reference templates for vowels, voiced fricatives, and unvoiced fricatives. The effects of different distance measures, filter orders, recognition schemes, and vowels and fricatives were comparatively assessed to determine their effectiveness for the task of gender recognition from speech segments. The results showed that most of the acoustic parameters worked well for gender recognition. A within-gender and within-subject averaging technique was important for generating appropriate test and reference templates. The Euclidean distance measure appeared to be the most robust as well as the simplest of the distance measures. The results from this study implied that the gender information is time invariant, phoneme independent, and speaker independent for a given gender. One recognition scheme achieved 100% correct speaker gender classification for a database of 52 talkers (27 male and 25 female). In part II of this paper [D.G. Childers and K. Wu, J. Acoust. Soc. Am. 90, 1841-1856 (1991); hereafter referred to as paper II] the detailed features of ten vowels that appeared responsible for distinguishing a speaker's gender were examined statistically. Included in paper II is a replication of part of the classical study of Peterson and Barney [J. Acoust. Soc. Am. 24, 175-184 (1952)] of vowel characteristics.