With this work we evaluate the Philips continuous speech recognition system on the standardized AURORA noisy digit string recognition task. A variety of noise robust algorithms, ranging from spectral subtraction during the feature extraction stage, to adaptation techniques in the HMM-decoding stage, are applied and their effects are presented. Detailed experimental results show the contribution of the single approaches to the overall system performance. By thoroughly combining the best performing of the standard algorithms, we achieve significant improvements for the matched training as well as for the non-matched condition scenarios.
Cite as: Lieb, M., Fischer, A. (2001) Experiments with the philips continuous ASR system on the AURORA noisy digits database. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 625-628, doi: 10.21437/Eurospeech.2001-165
@inproceedings{lieb01_eurospeech,
author={Markus Lieb and Alexander Fischer},
title={{Experiments with the philips continuous ASR system on the AURORA noisy digits database}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={625--628},
doi={10.21437/Eurospeech.2001-165}
}