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Neural network based signal processing device, neural network based signal processing method, and signal processing program

机译:基于神经网络的信号处理装置,基于神经网络的信号处理方法,以及信号处理程序

摘要

A signal processing device includes a power estimating unit that treats the feature quantity of a signal including reverberation as the input; inputs an observation feature quantity corresponding to an observation signal to a neural network which is learnt in such a way that the estimate value of the feature quantity corresponding to the power of the signal having reduced reverberation, from among the input signal, is output; and estimates the estimate value of the feature quantity corresponding to the power of the signal having reduced reverberation and corresponding to the observation signal. Moreover, the signal processing device includes a regression coefficient estimating unit that uses the estimate value of the feature quantity corresponding to the power as obtained as the estimation result by the power estimating unit, and estimates a regression coefficient of the autoregressive process for generating the observation signal.
机译:一种信号处理设备,包括功率估计单元,其将包括混响的信号的特征量作为输入;将与观测信号相对应的观测特征量输入到神经网络,该神经网络以这样的方式学习,即从输入信号中输出与具有减少混响的信号的功率相对应的特征量的估计值;以及估计与具有减少混响的信号的功率相对应且与观测信号相对应的特征量的估计值。此外,信号处理设备包括回归系数估计单元,其使用由功率估计单元获得的与功率相对应的特征量的估计值作为估计结果,并且估计用于生成观测信号的自回归过程的回归系数。

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