使用反向传播MLP网络分类器对一组封闭的说话人进行文本无关的说话人识别

Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005. Pub Date : 2005-12-21 DOI:10.1109/ISSPIT.2005.1577176

A. Sharma, S.P. Singh, V. Kumar

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引用次数: 12

摘要

说话人识别是识别熟悉的人的声音，并将其与说话人的名字相匹配。这是通过语音信号处理和提取相关信息来实现的。本文提出了一种基于多层感知器的说话人识别技术，该技术使用反向传播学习规则对一组封闭的说话人进行文本无关的说话人识别，这些说话人的语音内容存在于知识库中

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Text-independent speaker identification using backpropagation MLP network classifier for a closed set of speakers

Speaker identification is recognizing the voice of someone familiar, and matches it to speaker's name. This is done by speech signal processing and extracting relevant information. This paper documents such a speaker identification technique using a MLP (multilayer perceptron) using backpropagation learning rule for text-independent speaker recognition for a closed set of speaker whose speech content are present in the repository

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Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.

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