This paper proposed a pattern matching algorithm based on estimation of mutual information for speech recognition. The preliminary experiments on connected Chinese digits recognition show 97% of test digits were recognized correctly with 4 times much less time consume than DTW or HMM, and it was 6% higher than which gotten by conventional DTW with same experiments data and condition. According to our experiments, the proposed algorithm can be considered as an applicable effective matching method for speech recognition especially for monosyllable word recognition.
Cite as: Yu, Y., Zhao, H. (2000) Speech recognition based on estimation of mutual information. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 2, 1046-1049, doi: 10.21437/ICSLP.2000-452
@inproceedings{yu00c_icslp,
author={Yibiao Yu and Heming Zhao},
title={{Speech recognition based on estimation of mutual information}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 2, 1046-1049},
doi={10.21437/ICSLP.2000-452}
}