即時語音辨識多媒體系統

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姓名

邱介川(Chieh-Chuan Chiu) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

即時語音辨識多媒體系統
(Real-time speech recognition Multimedia system)

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摘要(中)

本論文主要是開發一套即時辨識多媒體系統，整合在車上常用的功能，提供簡單但實用的服務，配合自動錄音的技術，即時偵測指令的下達與否；使用關鍵詞萃取的技術來判斷屬於哪種服務，此技術是使用訓練好的次音節模型來辨識，無需因為更改服務而重複訓練模型
，提升辨識效率與系統移植性。
系統採用階層式架構，漸進式的引導使用者熟悉本系統，配合語音合成技術(Text To Speech, TTS)模擬人聲與使用者互動，系統開發工具是使用Borland C++ 6.0來實現視窗化的人機介面，達到即時辨識的效果。

摘要(英)

This thesis develops a real-time voice recognition multimedia system to provide simple but useful services. System detects whether commands were made or not by using automatic recording technology, then determining what kind of service is with keyword spotting technology. This technology implements recognition with sub-syllable models, which don’t need to repeat training, to improve the performance efficiency and portability.
System uses a hierarchical structure for keyword spotting with TTS (Text To Speech) to let user familiar with system. The system achieved by the Borland C + + 6.0 Windows based interface to realize real-time recognition.

關鍵字(中)

★ 隱藏式馬可夫模型
★ 關鍵字擷取

關鍵字(英)

★ Hidden Markov Model
★ keyword spotting

論文目次

摘要 i
Abstract ii
目錄 iii
附圖目錄 vi
附表目錄 viii
第一章緒論 1
1.1 研究動機 1
1.2 研究目標 3
1.3 章節概要 4
第二章語音訊號處理 5
2.1 語音端點偵測 5
2.1.1 能量計算 7
2.1.2 越零率 7
2.2 語音訊號前處理 8
2.2.1 切割音框 8
2.2.2 預強調 9
2.2.3 漢明窗 9
2.3 特徵參數擷取(Feature Extraction) 10
2.4 隱藏式馬可夫模型(Hidden Markov Model, HMM) 14
2.5 建立次音節模型 15
2.6 聲學模型的訓練 17
2.6.1 狀態排列 17
2.6.2 模型初始化 18
2.6.3 維特比演算法 18
2.6.4 參數重估 20
第三章系統架構 21
3.1 自動錄音 21
3.2 關鍵詞萃取架構 25
3.2.1 無關詞模組 26
3.2.2 關鍵詞模組 27
3.2.3 一階動態規劃演算法 27
3.3 辨識流程 30
3.4 系統功能 31
3.4.1 階層式架構 32
第四章實驗與結果 34
4.1 實驗環境 34
4.2 系統實驗 36
第五章結論與未來展望 40
5.1 結論 40
5.2 未來展望 40
參考文獻 42
附錄一 ..................................................48
附錄二 (Ⅰ)..............................................49
附錄二 (Ⅱ)..............................................50
附錄二 (Ⅲ)..............................................51

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指導教授

莊堯棠(Y.-T. Juang)

審核日期

2011-7-19

推文