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研究生: 李佳儒
Jia-Ru Lee
論文名稱: 基於數位聲音編碼之二維條碼系統
VoiceCode: A QRCode System for Digital Audio Encoding
指導教授: 阮聖彰
Shanq-Jang Ruan
沈中安
Chung-An Shen
口試委員: 呂政修
Jenq-Shiou Leu 
林敬舜
Ching-Shun Lin 
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 63
中文關鍵詞: 物聯網二維條碼語音行動裝置視障者
外文關鍵詞: QRCode, visually impaired individuals.
相關次數: 點閱:282下載:6
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  • 隨著物聯網(IOT)的快速發展,物件、設備和機器之間的通信成為一個熱門話題。條碼的應用已經成為該領域的不可取代的技術,它們提供了嵌入的各種信息,例如:超級鏈接和文本的方法。在本文中,我們提出了一個新穎的基於語音的二維條碼系統,該系統直接嵌入語音在條碼中。最初,語音數據流被編碼成二進制格式轉換成一個二維條碼符號。然後,可以由照像機獲取二維條碼,並通過一個解碼程序進行解碼。我們的系統被實現在有相機的標準移動設備上,它不需要任何的網絡連接。該方法適合用在多種用途,例如視障者的無障礙功能。


    As the rapid development of the Internet of Things (IoT), communication between objects, devices and machines becomes a popular topic. The application of barcode has become an irreplaceable technique in the field of IoT, which provides a new way to embed various information such as hyperlink and text. In this thesis, we present a novel voice-based QRCode system, which directly embeds voice into a barcode. Initially, the voice data stream is encoded in a binary format into a QRCode symbol. Then, the camera acquires the QRCode symbol and decodes it with a decoding program. Our system is implemented on standard mobile devices with a camera. It does not need any network connection. The proposed method is suitable for plenty of uses, such as the accessibility feature for the visually impaired individuals.

    Recommendation Form i Committee Form ii Chinese Abstract iii English Abstract iv Acknowledgements v Contents vi List of Table viii List of Figures ix Chapter 1. Introduction 1 1.1. Introduction of the 2D Barcode system 1 1.2. Introduction of audio signal processing 2 1.3. Motivation 3 1.4. Organization of this thesis 4 Chapter 2. Background 5 2.1. Digital audio fundamentals 5 2.1.1. Sampling 6 2.1.2. Sample formats 9 2.1.3. Compressed audio 11 2.2. 2D Barcode 16 2.2.1. PDF417 18 2.2.2. Data Matrix 19 2.2.3. QRCode 20 Chapter 3. Proposed Method 25 3.1. Voice processing 27 3.2. QRCode encoding 29 3.3. QRCode decoding 31 Chapter 4. Research Platform 33 4.1. The software development environment 34 4.2. The hardware development environment 36 Chapter 5. Experimental Results 38 5.1. Data size 41 5.2. Execution time 42 5.3. Voice QRCode result 44 Chapter 6. Conclusion 47 References 48

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