A Study of Thai Tone Classification

@inproceedings{Tan2005ASO,
  title={A Study of Thai Tone Classification},
  author={Li Tan and Montri Karnjanadecha and Thanate Khaorapapong and Pichaya Tandayya},
  year={2005}
}
Tone classification is a necessary part for Thai speech recognition. This paper present the work based on our former work described in our published paper ref. [1] and the published paper ref. [2]. Several configurations of tone classification front-end for large vocabulary Thai speech corpus are implemented and compared. They include the tone-critical segments, feature setting, frequency scale, normalization techniques. The experiments are also presented and discussed. Finally we get 72.21… CONTINUE READING

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61% (837/ 1220) 70.16% (881/ 1220)72

61% (837/ 1220) 70.16% (881/ 1220)72 • 1220

84% (852/ 1220) 7 2 .2 1 % ( 8 8 1 / 1 2 2 0 ) ERB ERB+ z-score ERB+ m -norm

15% • 1220

Article Title

A B Smith, C D Jones, E F Roberts
Journal

se mi-tone Se m i+ z-score Se mi+ m-norm

se mi-tone Se m i+ z-score Se mi+ m-norm

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