Pitch accent classification of fundamental frequency contours by hidden Markov models
نویسندگان
چکیده
In this study Hidden Markov models are employed for the automatic classiication of pitch accents in German utterances. A sim-pliied version of the tone sequence model (i.e. a linguistic theory of pitch accents) is applied. In this approach only two of the nuclear tones (rise, fall) are used. They are represented by continuous density Hidden Markov models. The classiier works on the sequence of feature vectors deened by N-tuples of succeeding fundamental frequency estimates.
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