Autor:	陳宏宇
Rok vydání:	2007
Druh dokumentu:	學位論文 ; thesis
Popis:	95 In this thesis, the features of the preceding and the succeeding syllable are used to help tone recognition on MLP (multi-layer perceptron) tone recognizer. The features include means and slopes of three uniformly divided-pitch contour, duration of the syllable and energy. Recognition rate are 87.74% and 83.27% for single speaker and multi-speaker database. If using the features of tone pair on MLP tone recognizer, the recognition rate are 88.15% and 85.81% respectively. Furthermore, using the features of pitch contour, pause duration and energy-dip level construct prosody model, tone model and break type model. Then we use Viterbi search algorithm to recognize. A recognition rate of 71.89% is achieved.
Databáze:	Networked Digital Library of Theses & Dissertations
Externí odkaz:	http://ndltd.ncl.edu.tw/handle/zv8mev Zobrazit plný text záznamu