Hidden Markov Model on Isolated Mandarin Words Recognition

碩士 === 國立交通大學 === 電機與控制工程系 === 88 === An isolated word speech recognizer is introduced in this thesis. This system can recognize Chinese syllables and digits. The recognition system is based on using hidden Markov model (HMM). The linear prediction coefficients (LPC) were used as the feat...

Full description

Bibliographic Details
Main Authors: Pin, Shao-Huang, 賓少煌
Other Authors: Chen Yon-Ping
Format: Others
Language:en_US
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/60474649524516343330