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標題: 語音環境控制輔具系統之單字切割研究
Word Boundary Detection Analysis of Speech Environment Control Auxiliary System
作者: 劉民洋
Ming-Yang, Liu
關鍵字: speech recognition;語音辨識;word boundary;MFCC;hidden markov model;單字切割;梅爾倒頻譜參數;隱藏式馬可夫模型
出版社: 電機工程學系

Speech recognition has been an intensively researched topic at the recent decades. This is a collaboration project between National Sciences Council, Chung Shan Medical University and our university, to deliver a Menu Based Chinese Pronunciations Control System. This system will facilitate those patients with movement difficulties via the design of the human machine interface. They can control the household electrical appliances by using the audio speech, this make the operations of the electrical appliance easier. And also promote the living life-style of the patients to be more independent.
The focuses of the research are on the segmental of continuous Chinese pronunciation, the comparison the Elman Neural Network method with the popular usage of energy and zero crossing parameter method, and determine the improvement in the segmentation of a single word, under a noisy environment.
The MFCC method is used to derive the characteristic parameter of pronunciations. The Hidden Markov model is used to set pattern parameter for each Chinese word respectively. At last, a testing at a real-world environment was conducted. The outcomes of the testing, showing that, the percentage of recognition under a noise-free environment will be about 95%, while at a noisy environment the percentage of recognition will be about 80%.
Appears in Collections:電機工程學系所

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