Input speech to speech recognition systems may be contaminated not only by various ambient noise but also by various irrelevant sounds generated by users such as coughing, tongue clicking, mouth-noises and certain out-of-task utterances. The authors have developed a speech detection method using the likelihood of partial sentences for detecting task utterance in speech contaminated with these irrelevant sounds. This paper describes this new speech detection method and reports on a field trial of speech recognition systems with the proposed speech detection method.
Cite as: Yamamoto, S., Naito, M., Kuroiwa, S. (1997) Robust speech detection method for speech recognition system for telecommunication networks and its field trial. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1535-1538, doi: 10.21437/Eurospeech.1997-442
@inproceedings{yamamoto97_eurospeech,
author={Seiichi Yamamoto and Masaki Naito and Shingo Kuroiwa},
title={{Robust speech detection method for speech recognition system for telecommunication networks and its field trial}},
year=1997,
booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
pages={1535--1538},
doi={10.21437/Eurospeech.1997-442}
}