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Normal mode rejection manner and study manner of the neural network which is used for that

机译:正常模式拒绝方式和用于该方式的神经网络的研究方式

摘要

A noise reduction system used for transmission and/or recognition of speech includes a speech analyzer for analyzing a noisy speech input signal thereby converting the speech signal into feature vectors such as autocorrelation coefficients, and a neural network for receiving the feature vectors of the noisy speech signal as its input. The neural network extracts from a codebook an index of prototype vectors corresponding to a noise-free equivalent to the noisy speech input signal. Feature vectors of speech are read out from the codebook on the basis of the index delivered as an output from the neural network, thereby causing the speech input to be reproduced on the basis of the feature vectors of speech read out from the codebook.
机译:用于语音的传输和/或识别的降噪系统包括:语音分析器,用于分析有噪声的语音输入信号,从而将语音信号转换为特征向量,例如自相关系数;以及神经网络,用于接收有噪声的语音的特征向量信号作为输入。神经网络从码本中提取与无噪声等效于噪声语音输入信号相对应的原型向量索引。基于作为来自神经网络的输出而传递的索引,从代码簿中读出语音的特征向量,从而基于从代码簿中读出的语音的特征向量来再现语音输入。

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