ASR系统的语音分离分析

Proceedings of the Fourth International Workshop on Robot Motion and Control (IEEE Cat. No.04EX891) Pub Date : 2004-06-17 DOI:10.1109/ROMOCO.2004.240584

A. Dabrowski, D. Cetnarowicz, T. Marciniak

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引用次数: 6

摘要

本文提出了提高自动语音识别(ASR)系统语音输入信号质量的几个方面。很明显，适当地将期望的声音从干扰中分离出来可以提高识别性能。我们已经测试了独立成分分析(ICA)的infomax算法应用于孤立词的分离。使用动态时间规整(DTW)方法测试了波兰语单词(用于机器人远程语音控制的命令)的检测。

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Analysis of speech separation for ASR systems

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.

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Proceedings of the Fourth International Workshop on Robot Motion and Control (IEEE Cat. No.04EX891)

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