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NOISE ROBUST SPEECH RECOGNITION METHOD BASED ON NOISY ACOUSTIC MODEL ADAPTATION

机译:基于噪声声学模型自适应的噪声鲁棒语音识别方法

摘要

The present invention relates to a noise voice recognition method based on noise acoustic model adaptation. The noise voice recognition method includes the steps of: (a) extracting a recognized noise voice signal and setting initial values of channel noise and additional noise; (b) estimating an HMM parameter value with respect to the recognized noise voice signal by using a relational equation of recognized noise voice and training noise voice which is drawn by using a VTS in a cepstrum domain; (c) generating a result on recognition of the recognized noise voice by using the estimated HMM parameter value; (d) re-estimating a noise parameter through an EM process; (e) repeating step (b) by using the re-estimated noise parameter; and (f) generating a final recognition result with respect to the recognized noise voice signal by using the HMM parameter estimated in step (e).
机译:本发明涉及一种基于噪声声学模型自适应的噪声语音识别方法。噪声语音识别方法包括以下步骤:(a)提取识别出的噪声语音信号并设置信道噪声和附加噪声的初始值; (b)通过使用在倒频谱域中使用VTS绘制的识别噪声语音和训练噪声语音的关系式来估计关于识别噪声语音信号的HMM参数值; (c)通过使用估计的HMM参数值,在识别出识别出的噪声语音时产生结果; (d)通过电磁过程重新估计噪声参数; (e)通过使用重新估计的噪声参数重复步骤(b); (f)通过使用在步骤(e)中估计的HMM参数,对于识别出的噪声语音信号产生最终识别结果。

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