Tone variation modeling for fluent Mandarin tone recognition based on clustering

  • Wan-Yi Lin
  • Published 2004 in
    2004 IEEE International Conference on Acoustics…

Abstract

Tone recognition for fluent Mandarin speech has always been a very difficult problem, because the complicated tone behavior is difficult to analyze. In this paper, a new method of modeling tone variation for fluent Mandarin tone recognition by clustering training data into few subsets and weighting the likelihood computed by inter-syllabic features (Lin et… (More)
DOI: 10.1109/ICASSP.2004.1326140

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Cite this paper

@article{Lin2004ToneVM, title={Tone variation modeling for fluent Mandarin tone recognition based on clustering}, author={Wan-Yi Lin}, journal={2004 IEEE International Conference on Acoustics, Speech, and Signal Processing}, year={2004}, volume={1}, pages={I-933} }