Modeling phonological units of speech is a critical issue in speech recognition. In this paper, we report our recent development of an overlapping feature-based phonological model which gives long-span contextual dependency. We extend our earlier work by incorporating high-level linguistic constraints in automatic construction of the feature overlapping patterns. The main linguistic information explored includes morpheme, syllable, syllable constituent categories and word stress markers. We describe a consistent computational framework developed for the construction of the feature-based model, and discuss use of the model as the HMM state topology for speech recognizers.
Cite as: Sun, J., Deng, L. (1998) Use of high-level linguistic constraints for constructing feature-based phonological model in speech recognition. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0043, doi: 10.21437/ICSLP.1998-167
@inproceedings{sun98_icslp,
author={Jiping Sun and Li Deng},
title={{Use of high-level linguistic constraints for constructing feature-based phonological model in speech recognition}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0043},
doi={10.21437/ICSLP.1998-167}
}