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Comparing various voice recognition techniques

机译:比较各种语音识别技术

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摘要

In this paper we describe and compare some speaker recognition techniques. A mel-cepstral short-time analysis for speech signals is presented first. It is used in the voice feature extraction stage. Then speech-dependent and speech-independent speaker recognition approaches are proposed by us in this paper. Minimum mean-distance classification methods are used by the supervised classifier of the voice identification system. Threshold-based procedures are provided for the speaker verification part of the system.
机译:在本文中,我们描述并比较了一些说话人识别技术。首先介绍了语音信号的倒谱短时分析。它用于语音特征提取阶段。然后本文提出了语音相关和语音独立的说话人识别方法。语音识别系统的监督分类器使用最小平均距离分类方法。为系统的说话者验证部分提供了基于阈值的过程。

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