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Noise Robust Speech Features for Automatic Continuous Speech Recognition using Running Spectrum Analysis

机译:使用运行频谱分析的自动连续语音识别噪声强大的语音功能

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In this report, new robust speech feature is introduced and applied for an automatic continuous speech recognition system. Using these features, the noise robust continuous speech recognition can be realized. The new running spectrum analysis (RSA) method is used in order to remove un-speech components over 15 Hz in modulation spectrum domain. Using RSA, speech features are emphasized for the design of tri-phone HMM where the tri-phone HMM is used in continuous speech recognition. In order to show the performance of the developed system, some comparisons with conventional one are given in experiments.
机译:在本报告中,引入了新的强大语音功能并应用了自动连续语音识别系统。使用这些功能,可以实现噪声稳健的连续语音识别。使用新的运行频谱分析(RSA)方法,以便在调制频谱域中以超过15Hz的un语音组件移除。使用RSA,强调语音特征,用于设计Tri-Phone HMM,其中Tri-Phone HMM用于连续语音识别。为了展示发达系统的性能,在实验中给出了与常规的表现。

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