Echo Canceller Using Error Back Propagation Algorithm

Soumava Kumar Roy,Crefeda Faviola Rodrigues

Soft Computing and Machine Intelligence（2014）

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摘要

This paper presents the use of Error Back Propagation Algorithm for Adaptive Filter Applications. The Artificial Neural Network (ANN) exploits correlation between the pure speech signal and echo corrupted signal, to generate an estimate of the echo, which in turn subtracts the noise from the echo corrupted signal. Training of ANN is performed using the offline recordings of male and female voice data. Based on the analysis of the recovered pure signal, plots of Signal to Noise Ratio (SNR) vs. Error, Tracking of Weights, Tracking of Echo, Tracking of Error and Variance of Echo with relation to Error has also been shown.

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关键词

adaptive filters,backpropagation,echo suppression,neural nets,speech processing,ANN training,adaptive filter applications,artificial neural network,echo canceller,echo corrupted signal,echo tracking,echo variance,error back propagation algorithm,error tracking,offline female voice data recording,offline male voice data recording,signal to noise ratio,speech signal,weight tracking,Adaptive Filter,Artificial Neural Network (ANN),Audacity,Error Back Propagation Training,Signal to Noise Ratio (SNR)

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