本論文中，我們整合聲控技術於Google地圖。也就是說，我們可以將原本利用滑鼠或鍵盤的部分地圖操作，改由聲控來進行。相較於最新的即時語音處理技術，我們系統最大的不同，在於所有的語音運算處理都是在客戶端上作執行。在語料庫部分，我們錄製了100個熱門的台灣景點與一些特定的地圖控制指令來作為訓練語料。在我們的實驗中，使用了不同的訓練方式來訓練聲學模型、設計字典和語言模型並估算我們系統的效能。在系統實際使用情況，透過位置、控制和座標不同部分的聲控操作，便可循序地移動地圖中心到達指定的搜尋景點。不同使用者針對數個特定位置進行估算，整體搜尋過程平均花費20.8秒，其中大部分時間都是花費在錄音階段。

In this research, we integrate the voice commands technique into Google Map. It means
that we can control part of the movements for Google Map search without using the mouse or
keyboard but with voice. Our voice command system is built on the client side. The biggest
different between our system and state-of-the-art real-time speech processing system is that
all the computation about the speech process always work on the client side. For our corpus,
we choose the Top100 scenic spots in Taiwan and some specific control commands as our
training data. In the experiment of our research, we make use of the different ways to train
the acoustic models and design dictionary and language models to estimate the efficiency on our system. Actual usage in the system, we can move the map center to the specific location sequentially by voice command operations for location, control and coordinate. we estimate the overall search process time on some specific locations by different users. It spends 20.8 seconds in average which spends most of time in recording stage.

Acknowledgments d
List of Tables iii
List of Figures iv
Chapter 1 簡介1
1.1 研究背景. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 研究動機. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.3 聲控系統. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.4 Google地圖應用. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.5 網頁型的語音辨識系統中伺服器與客戶端的關係. . . . . . . . . . . . . 4
1.6 論文架構. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Chapter 2 自動語音辨識系統架構6
2.1 隱藏式馬可夫模型和HTK工具. . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 模型單位集. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3 語音特徵參數擷取. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.4 聲學模型. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.5 使用HTK工具指令於辨識. . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Chapter 3 應用於Google地圖上的中文聲控系統16
3.1 中文與注音符號系統的介紹. . . . . . . . . . . . . . . . . . . . . . . . . 16
3.2 解碼器. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
3.3 系統架構. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
3.4 錄音時間資訊分析. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
3.5 Silverlight的瀏覽器外用支援(Out-of-browser) . . . . . . . . . . . . . . . . 23
Chapter 4 語料庫與實驗25
4.1 語音語料庫的蒐集. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
4.2 模型訓練和文法設定. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
4.3 實驗估算. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
4.4 地圖搜尋情境. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
Chapter 5 總結與未來展望31
5.1 總結. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
5.2 未來展望. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
附錄A 37

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