We propose a running demonstration of coupling between an intermediate processing step (named CASA), based on the harmonicity cue, and partial recognition, implemented with a HMM/ANN multistream technique [2]. The model is able to recognise words corrupted with narrow band noise, either stationary or having variable center frequency. The principle is to identify frame by frame the most noisy subband within four subbands by analysing a SNR-dependent representation. A static partial recogniser is fed with the remaining subbands. We establish on Numbers93 the noisy-band identification (NBI) performance as well as the word error rate (WER), and alter the correlation between these two indexes by changing the distribution of the noise.
Cite as: Berthommier, F., Glotin, H., Tessier, E., Bourlard, H. (1998) Interfacing of CASA and partial recognition based on a multistream technique. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0600, doi: 10.21437/ICSLP.1998-317
@inproceedings{berthommier98_icslp,
author={Frédéric Berthommier and Hervé Glotin and Emmanuel Tessier and Hervé Bourlard},
title={{Interfacing of CASA and partial recognition based on a multistream technique}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0600},
doi={10.21437/ICSLP.1998-317}
}