ISCA Archive SpeechProsody 2014
ISCA Archive SpeechProsody 2014

Taiwanese Tone Recognition Using Fractionalized Curve-fitting of Prosodic Features

Yu Lun Hsieh, Ching-Ting Chuang, Feng Fan Hsieh, Yueh Chin Chang, Wen Lian Hsu

In this paper, we examined different methods of modeling prosodic features of tones, and their effects on a speaker-independent Taiwanese tone recognition system. Tones can be modeled either by plain or curve-fitted features. Plain features represent the original curve faithfully using pitch values, while curve- fitted features can be thought of as an approximation to the values using mathematical functions, such as a Legendre polynomial. In addition, durational information of tones was also proven effective in previous researches. Thus, we proposed a new approach of modeling Taiwanese tones using curve-fitted features extracted from fractions of the pitch curve, along with duration as an additional prosodic feature. Our experimental results showed that using these features in an SVM classifier could substantially improve the accuracy of tone recognition in Taiwanese. Besides, we provided an empirical perspective for theoretic studies on tonal neutralization.

doi: 10.21437/SpeechProsody.2014-143

Cite as: Hsieh, Y.L., Chuang, C.-T., Hsieh, F.F., Chang, Y.C., Hsu, W.L. (2014) Taiwanese Tone Recognition Using Fractionalized Curve-fitting of Prosodic Features. Proc. Speech Prosody 2014, 772-775, doi: 10.21437/SpeechProsody.2014-143

  author={Yu Lun Hsieh and Ching-Ting Chuang and Feng Fan Hsieh and Yueh Chin Chang and Wen Lian Hsu},
  title={{Taiwanese Tone Recognition Using Fractionalized Curve-fitting of Prosodic Features}},
  booktitle={Proc. Speech Prosody 2014},