A combination of techniques for increasing recognition accuracy has been developed for an automated corporate directory system with 120,000 entries. Using a traditional recogniser an accuracy of around 60% has previously been obtained for both a 156 town name task and 1108 road name task. Techniques presented in this paper comprise front-end modifications, context dependent models, improved lexicon and noise modelling. This resulted in an increased recognition accuracy of around 90%.
Cite as: Azzopardi, D., Semnani, S., Milner, B., Wiseman, R. (1998) Improving accuracy of telephony-based, speaker-independent speech recognition. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0543, doi: 10.21437/ICSLP.1998-282
@inproceedings{azzopardi98_icslp,
author={Daniel Azzopardi and Shahram Semnani and Ben Milner and Richard Wiseman},
title={{Improving accuracy of telephony-based, speaker-independent speech recognition}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0543},
doi={10.21437/ICSLP.1998-282}
}