Adaptation and use of an algorithm for recognition of connected words in an application for mobile radio telephony is described. Two data bases were collected in a compact car running about 120 km/h containing speech uttered via handset and in hands-free mode for each 10 speakers. In the first phase, a connected-words recognition algorithm was improved using the handset data base. Starting with a recognition mismatch rate of less than i% for undisturbed speech, 14.5% errors were measured for noisy speech and an unmodified algorithm. After several modifications and introduction of new modules for speech signal preprocessing, the error rate decreased to 3% for handset data and 13.2 % for hands-free data. Work on recognition in hands-free mode is still in progress.
Cite as: Ruehl, H.-W., Dobler, S., Weith, J., Meyer, P., Noll, A., Hamer, H.H., Piotrowski, H. (1989) Speech recognition in the noisy car environment. Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989), 1262-1265, doi: 10.21437/Eurospeech.1989-67
@inproceedings{ruehl89_eurospeech,
author={Hans-Wilhelm Ruehl and S. Dobler and J. Weith and Peter Meyer and A. Noll and H. H. Hamer and H. Piotrowski},
title={{Speech recognition in the noisy car environment}},
year=1989,
booktitle={Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989)},
pages={1262--1265},
doi={10.21437/Eurospeech.1989-67}
}