Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Using GMM for Voiced/Voiceless Segmentation and Tone Decision in Mandarin Continuous Speech Recognition

Ching X. Xu

Northwestern University, Evanston, IL 60208, USA

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.


Full Paper

Bibliographic reference.  Xu, Ching X. (2000): "Using GMM for voiced/voiceless segmentation and tone decision in Mandarin continuous speech recognition", In ICSLP-2000, vol.2, 975-978.