A Study of Thai Tone Classification
نویسندگان
چکیده
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% accuracy for a large vocabulary Thai continuous speech corpus described in ref. [3] which includes 5726 tones (training set: 4506, testing set:1220).
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