Speech analysis for automatic speech recongnition: A review

机译：用于自动语音识别的语音分析：综述

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The performance of a speech recognizer depends upon the quality and robustness of the acoustic and features extracted from the speech wave. Most of the speech parameterization methods proposed so far are not very robust against variations in the speech signal. In this paper we will go through some of the various approaches used so far.

机译：语音识别器的性能取决于声音的质量和鲁棒性以及从语音波中提取的特征。迄今为止，所提出的大多数语音参数化方法对语音信号的变化不是很健壮。在本文中，我们将介绍迄今为止使用的各种方法。

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《Speech Technology and Human-Computer Dialogue, 2009. SpeD '09》|2009年|1-5|共5页
会议地点 Constanta(RO);Constanta(RO)
作者
Haton J.-P.;
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LORIA/INRIA, Inst. Univ. de France, France;

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feature extraction; speech recognition; acoustic extraction; automatic speech recognition; speech analysis; speech parameterization method; ASR parameters; Auditory models; Speech parameterization; Speech recognizer;

机译：特征提取;语音识别;语音提取;自动语音识别;语音分析;语音参数化方法; ASR参数;听觉模型;语音参数化;语音识别器;

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机译：自动语音识别和语音可变性：综述

Speech analysis for automatic speech recongnition: A review

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