標題: SPEAKER-INDEPENDENT MANDARINE PLOSIVE RECOGNITION WITH DYNAMIC FEATURES AND MULTILAYER PERCEPTRONS
作者: CHEN, WY
CHEN, SH
交大名義發表
電信工程研究所
National Chiao Tung University
Institute of Communications Engineering
關鍵字: NEURAL NETWORKS;SPEECH RECOGNITION
公開日期: 16-二月-1995
摘要: A new method for recognising plosives in isolated Mandarin syllables is discussed in the Letter. After automatically detecting the plosive segment of the input utterance, some dynamic features are extracted from its spectral parameter contours using orthonormal polynomial transforms. Next, an MLP trained with an algorithm based on a minimum error criterion is employed to distinguish plosives using these features. A promising recognition rare of 73.6% is achieved in a speaker-independent test using a database containing utterances of 110 syllables uttered by 100 speakers.
URI: http://dx.doi.org/10.1049/el:19950188
http://hdl.handle.net/11536/2046
ISSN: 0013-5194
DOI: 10.1049/el:19950188
期刊: ELECTRONICS LETTERS
Volume: 31
Issue: 4
起始頁: 258
結束頁: 259
顯示於類別:期刊論文


文件中的檔案:

  1. A1995QL56400011.pdf