The problem addressed by this paper is to enhance the continuous speech recognizers robustness to noise. For this purpose, the acoustic signal is filtered into several spectral bands, and independent recognition is achieved in each band. Then, the system recombines the results given by each recognizer and delivers a unique solution. The main advantage of this method is to consider the signal only in the bands which are relevant, and to ignore spectral bands which are corrupted by noise. We are developping a speaker-independent continuous speech recognizer based on this principle.
Cite as: Cerisara, C., Haton, J.-P., Mari, J.-F., Fohr, D. (1997) Multi-band continuous speech recognition. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1235-1238, doi: 10.21437/Eurospeech.1997-32
@inproceedings{cerisara97_eurospeech,
author={Christophe Cerisara and Jean-Paul Haton and Jean-Francois Mari and Dominique Fohr},
title={{Multi-band continuous speech recognition}},
year=1997,
booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
pages={1235--1238},
doi={10.21437/Eurospeech.1997-32}
}