Many local or regional dialects exist in China. In case of mismatch between the dialect used to train the system and the dialect of the user, poor recognition accuracy is obtained. In this paper, we therefore investigate the development of a dialectspecific recognition system in Mandarin Chinese using standard adaptation techniques: a speaker-independent (SI) model trained on a source dialect (Beijing dialect) is adapted using a limited set of speech data of a target dialect (Taiwanese dialect).
Cite as: Beaugendre, F., Claes, T., Hamme, H.v. (2000) Dialect adaptation for Mandarin Chinese speech recognition. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 2, 803-806, doi: 10.21437/ICSLP.2000-391
@inproceedings{beaugendre00_icslp,
author={Frédéric Beaugendre and Tom Claes and Hugo van Hamme},
title={{Dialect adaptation for Mandarin Chinese speech recognition}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 2, 803-806},
doi={10.21437/ICSLP.2000-391}
}