In this paper we propose to apply formant pattern recognition to Mandarin vowel pronunciation assessment. We devise a novel pitch cycle detection method and suggest estimating formant frequencies from observations of the frequency domain by using pitch-synchronous analysis. Statistically based classifiers are trained to discriminate formant patterns for vowel pronunciation assessment. Five confusable Mandarin vowels are selected for experiments. Assessment results show an average human-machine score correlation improvement of 6.10% of the new method over ASR technique, and show an average improvement of 6.37% over traditional LPC analyzing method.
Cite as: Pan, F., Zhao, Q., Yan, Y. (2007) Mandarin vowel pronunciation quality evaluation by using formant pattern recognition. Proc. Interspeech 2007, 202-205, doi: 10.21437/Interspeech.2007-86
@inproceedings{pan07_interspeech,
author={Fuping Pan and Qingwei Zhao and Yonghong Yan},
title={{Mandarin vowel pronunciation quality evaluation by using formant pattern recognition}},
year=2007,
booktitle={Proc. Interspeech 2007},
pages={202--205},
doi={10.21437/Interspeech.2007-86}
}