期刊文献+

说话人识别技术中Mel倒谱参数改进算法的C程序实现

Realization of Improved Algorithm of Mel-Frequency Cepstral Coefficients in Speaker Recognition Technology with C
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摘要 基于语音信号的频谱特性,本文对说话人识别技术中Mel倒谱参数做了改进,并通过Microsoft Visual C++6.0验证了在低信噪比时使用改进后的Mel倒谱参数可以提高说话人识别系统的正确识别率。 This article improves the algorithm of Mel-frequency cepstral coefficients in speaker recognition technology based on frequency character of speech signal. The improved Mel-frequency cepstral coefficients are proved to raise the recognition accuracy of speaker recognition system in low SNR condition by experiments with Microsoft Visual C ++ 6.0.
作者 叶蕾 方鹏
机构地区 南京邮电大学
出处 《计算机与现代化》 2007年第11期26-28,共3页 Computer and Modernization
关键词 说话人识别 Mel倒谱参数 speaker recognition Mel-frequency cepstral coefficients
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参考文献2

  • 1European Telecommunications Standards Institute (ETSI).Speech Processing,Transmission and Quality Aspects (STQ); Distributed Speech Recognition; Front-end Feature Extraction Algorithm; Compression Algorithms[S].Standard ES201 108,Ver.1.1.2,April 11,2000.
  • 2Reyolds D A,Rose R C.Robust text-independent speaker identification using Gaussian mixture speaker models[J].IEEE Trans.on Speech and Audio Processing,1995,3(1):72-83.

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