speech distortion meaning in Chinese

言语失真

In signal space , speech enhancement is adopted to effectively suppress the noise and increase the discriminative information embedded in noisy speech signal . however , the speech distortion introduced by enhancement , as well as the residual noise , is a very adverse factor for recognition
在信号空间，利用语音增强有效抑制噪声，提高输入信号中的鉴别信息，但增强带来的语音失真和增强后的剩余噪声是对语音识别非常不利的因素。
It can be concluded after analysis that the speech distortion and the residual noise can be approximately regarded as multiplicative noise and additive noise , respectively . thus , we use a parallel model combination ( pmc ) algorithm , which is deployed in model space , to adapt the parameters of speech models to compensate the residual noise , or we use a cepstral mean normalization ( cmn ) algorithm in feature space to compensate both the speech distortion and the residual noise
分析表明，语音失真和剩余噪声可近似看作乘性噪声和加性噪声，因此可在模型空间利用并行模型合并( pmc )算法通过调整模型参数对剩余噪声进行补偿，或者在特征空间利用倒谱均值归一化( cmn )算法对语音失真和剩余噪声同时进行补偿。