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首页> 外文期刊>International journal of mobile computing and multimedia communications >Optimal Spectral Resolution in Speaker Authentication: Application in Noisy Environment and Telephony
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Optimal Spectral Resolution in Speaker Authentication: Application in Noisy Environment and Telephony

机译:说话人认证中的最佳频谱分辨率:在嘈杂环境和电话中的应用

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摘要

This article deals with the problem of speaker characterization, for which the principal interest is the improvement of the techniques of speaker authentication. For this purpose, we investigate the effect of spectral resolution in the speaker authentication performance. This investigation employs an approach based on the second order statistical measures using the Mel Frequency Spectral Coefficients (MFSC) and looks for the best spectral resolution. Fxperimenls are done cm microphonic and telephonic speech signals, with several MFSC dimensions and several types of noises. Results show the importance of the high spectral resolution in noisv environment and telephonic bandwidth, while the current research works have always favoured the low resolution of 24 coefficients in such tasks. For example, we notice an improvement of about 11% on the identification score, since we increase the resolution from 24 to 48 MFSC, in the telephonic bandwidth.
机译:本文讨论了说话人表征的问题,其主要兴趣是对说话人认证技术的改进。为此,我们研究了频谱分辨率对说话者身份验证性能的影响。本研究采用基于二阶统计量的方法,使用梅尔频率频谱系数(MFSC),以寻找最佳频谱分辨率。 fxperimenls是在麦克风和电话语音信号上完成的,具有几个MFSC尺寸和几种类型的噪声。结果表明在噪声环境和电话带宽中高频谱分辨率的重要性,而当前的研究工作一直倾向于在此类任务中使用24个系数的低分辨率。例如,由于我们将电话带宽的分辨率从24 MFSC提高到了48 MFSC,因此我们注意到识别分数提高了约11%。

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