尚未登入 請由此登入
 
 
 










知識分享平台Eshare檢視資訊View
返回前一頁Back
      [檢舉]

標題Title: Automatic Speech Recognition and Dependency Network to Identification of Articulation Error Patterns
作者Authors: 陳有圳,Jiunn-Liang Wu..等
上傳單位Department: 電機工程系
上傳時間Date: 2009-11-18
上傳者Author: 陳有圳
審核單位Department: 電機工程系
審核老師Teacher: 陳有圳
檔案類型Categories: 論文Thesis
關鍵詞Keyword: Articulation Disorder, Articulation Error Pattern, Dependency Network
摘要Abstract: Articulation errors will seriously reduce speech intelligibility and the ease of spoken communication. Typically, a language therapist uses his or her clinical experience to identify articulation error patterns, a time-consuming and expensive process. This paper presents a novel automatic approach to identifying articulation error patterns and providing error information of pronunciation to assist the linguistic therapist. A photo naming task is used to capture examples of an individual's articulation patterns. The collected speech is automatically segmented and labeled by a speech recognizer. The recognizer's pronunciation confusion network is adapted to improve the accuracy of the speech recognizer. The modified dependency network and a multiattribute decision model are applied to identify articulation error patterns. Experimental results reveal the usefulness of the proposed method and system.

檔案名稱
FileName
檔案大小
Size
檔案格式
Format
瀏覽次數
Browses
下載次數
Downloads
2009_11_cf4cdfa5.pdf 203Kb pdf 463 117
文件中檔案:
 

開啟檔案Download
 
 
返回前一頁