This paper compares two noise compensation techniques for increasing recognition performance on tone corrupted speech from payphones. An analysis of payphone speech is made which identifies two harmful processes - signalling tones and increased background noise. The techniques of spectral subtraction and parallel model combination are compared on this task and are shown to give some improvement. Further robustness is demonstrated using RASTA-CTM speech features.
Cite as: Milner, B., Farrell, M. (1999) A comparison of techniques for tone compensation in payphone-based speech recognition. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 2845-2848, doi: 10.21437/Eurospeech.1999-629
@inproceedings{milner99_eurospeech,
author={Ben Milner and Mark Farrell},
title={{A comparison of techniques for tone compensation in payphone-based speech recognition}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={2845--2848},
doi={10.21437/Eurospeech.1999-629}
}