ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

Using GMM for voiced/voiceless segmentation and tone decision in Mandarin continuous speech recognition

Ching X. Xu

In this paper, methods of Gaussian Mixture Model (GMM) are presented for both silence/voiced/voiceless segmentation and tone decision in Mandarin continuous speech recognition system. GMM has been used for silence/voiced/voiceless segmentation before, but the feature parameters can be modified to improve both accuracy and speed. As a popular method in pattern recognition, GMM is first proposed for tone decision. The two GMMs used are proved to be capable and potential.


Cite as: Xu, C.X. (2000) Using GMM for voiced/voiceless segmentation and tone decision in Mandarin continuous speech recognition. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 2, 975-978

@inproceedings{xu00c_icslp,
  author={Ching X. Xu},
  title={{Using GMM for voiced/voiceless segmentation and tone decision in Mandarin continuous speech recognition}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 2, 975-978}
}