ISCA Archive Interspeech 2007
ISCA Archive Interspeech 2007

Mandarin vowel pronunciation quality evaluation by using formant pattern recognition

Fuping Pan, Qingwei Zhao, Yonghong Yan

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.


doi: 10.21437/Interspeech.2007-86

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}
}