Analysis of speech separation for ASR systems

Abstract

This work presents some aspects concentrated on improving quality of the voice input signal for automatic speech recognition (ASR) systems. It is clear that proper separation of the desired voice from disturbances improves the recognition performance. We have tested the independent component analysis (ICA) infomax algorithm applied to the separation of isolated words. Detection of Polish words (commands used for the remote voice control of a robot) was tested using the dynamic time warping (DTW) approach.