標題: TONE RECOGNITION OF CONTINUOUS MANDARINE SPEECH-BASED ON NEURAL NETWORKS
作者: CHEN, SH
WANG, YR
交大名義發表
電信工程研究所
National Chiao Tung University
Institute of Communications Engineering
公開日期: 1-三月-1995
摘要: Several neural network-based tone recognition schemes for continuous Mandarin speech are discussed. A basic MLP tone recognizer using recognition features extracted from the processing syllable is first introduced. Then, some additional features extracted from neighboring syllables are added to compensate for the coarticulation effect. It is then further improved to compensate for the effect of sandhi rules of tone pronunciation by including tone information of neighboring syllables. The recognition criterion is now changed to find the best tone sequence that minimizes the total risk that simultaneously considers tone recognition of all syllables in the input utterance. Last, two approaches using HCNN and HSMLP, respectively, to model the intonation pattern as a hidden Markov chain for assisting tone recognition are proposed. The effectiveness of these schemes was confirmed by simulations on a speaker-independent tone recognition task. A recognition rate of 86.72% was achieved.
URI: http://dx.doi.org/10.1109/89.366544
http://hdl.handle.net/11536/2022
ISSN: 1063-6676
DOI: 10.1109/89.366544
期刊: IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
Volume: 3
Issue: 2
起始頁: 146
結束頁: 150
顯示於類別:期刊論文


文件中的檔案:

  1. A1995QG92100005.pdf