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Author: Rodiatul Adawiya Abdul Rahman
Rodiatul Adawiya Abdul Rahman
Thesis Title: Mobile Application for Real-Time Bird Sound Recognition using Convolutional Neural Network
Mobile Application for Real-Time Bird Sound Recognition using Convolutional Neural Network
Advisor: 楊傳凱
Yang, Chuan-Kai
Committee: 賴源正
Yuan-Cheng Lai
Bor-Shen Lin
Degree: 碩士
Department: 管理學院 - 資訊管理系
Department of Information Management
Thesis Publication Year: 2020
Graduation Academic Year: 108
Language: 英文
Pages: 53
Keywords (in Chinese): Audio FeaturesBioacousticsBird Sound RecognitionConvolutional Neural NetworksMobile-based Application
Keywords (in other languages): Audio Features, Bioacoustics, Bird Sound Recognition, Convolutional Neural Networks, Mobile-based Application
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Master's Thesis Recommendation Form I Qualification Form by Master's Degree Examination Committee II Abstract III Acknowledgment IV Table of Contents V List of Figures VII List of Tables VIII Chapter 1. Introduction 1 1.1 Background 1 1.2 Contribution 2 1.3 Research Outline 3 Chapter 2. Related Works 4 2.1 Animal Sound Recognition 4 2.2 Bird Sound Recognition 5 2.2.1 Bird Sound Recognition using Traditional Approach 5 2.2.2 Bird Sound Recognition using CNN 6 2.3 Convolutional Neural Networks (CNN) 8 Chapter 3. Proposed System 14 3.1 System Overview 14 3.2 System Architecture 15 3.3 Generating Spectrograms 17 3.4 Dataset 18 3.5 Dataset Augmentation 22 3.6 Training the CNN Model 22 3.7 Recognizing the Bird Sound 26 Chapter 4. Experimental Results 28 4.1 Experiments 28 4.2 Comparison Results 38 Chapter 5. Conclusion and Discussion 40 5.1 Conclusion 40 5.2 Limitation and Future Work 40 References 42

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