A Study on Detection and Recognition of Obstruents in Continuous Mandarin Speech

碩士 === 國立清華大學 === 電機工程學系 === 94 === A study on acoustic-phonetic features for the obstruent detection and classification based on the knowledge of Mandarin speech is proposed. Seneff auditory model is used as the front-end processor for extracting acoustic-phonetic features. These features are rich...

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Bibliographic Details
Main Authors: Sung, Kuang-Ting, 宋光婷
Other Authors: Wang, Hsiao-Chuan
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/84701195596019021219