DocumentCode :
1960748
Title :
Analysis of speech separation for ASR systems
Author :
Døbrowski, A. ; Cetnarowicz, D. ; Marciniak, T.
Author_Institution :
Inst. of Control & Syst. Eng., Poznan Univ. of Technol., Poland
fYear :
2004
fDate :
17-20 June 2004
Firstpage :
345
Lastpage :
350
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.
Keywords :
independent component analysis; microphone arrays; natural languages; speech processing; speech recognition; speech synthesis; time warp simulation; Polish words; automatic speech recognition system; dynamic time warping; independent component analysis; microphone array; speech separation; voice input signal; Automatic control; Automatic speech recognition; Communication system control; Independent component analysis; Microphones; Propagation delay; Signal processing; Signal processing algorithms; Speech analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot Motion and Control, 2004. RoMoCo'04. Proceedings of the Fourth International Workshop on
Print_ISBN :
83-7143-272-0
Type :
conf
DOI :
10.1109/ROMOCO.2004.240584
Filename :
1359540
Link To Document :
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