嵌入式系統音源定位與增强

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姓名

馬永升(Weng-Sheng Bee) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

嵌入式系統音源定位與增强
(Sound Localization and Enhancement in Embedded System)

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摘要(中)

近幾年來，嵌入式系統的技術及產品已成為全球IT產業的重點之一。此論文研討音訊的定位與增强於嵌入式系統的實現，所嵌入的演算法有方位偵測與混合音源分離。這兩種演算法分別用不同的嵌入式系統來實現，方位偵測使用TI TMS320C6713 DSK做開發，混合音源分離使用Raspberry Pi 2來開發。實驗部分，方位偵測測出的角度達到不錯效果，誤差皆在10度以內；混合音源分離，實驗一使用SIR來評估，1m與2m的平均SIR爲16.72與15.76，實驗二使用語音辨識來評估，此演算法使語音辨識提高至95%。

摘要(英)

In recent years, the technology and products of embedded system has become one of the focus of the global IT industry. In this paper, we proposed sound localization and enhancement on embedded system implementation. Sound Localization and Blind Source Separation (BSS) are embedded in embedded system. These two kinds of algorithm with different embedded system to achieve. Source Localization using TI TMS320C6713 DSK do develop, and Blind Source Separation using Raspberry Pi 2 do develop. About of experiment, Sound Localization measured errors angle are less than 10 degrees; Blind Source Separation, first experiment using SIR to evaluate, average SIR of 1m and 2m are 16.72 and 15.76 respectively. Second experiment using Speech recognition to evaluate, this algorithm to make speech recognition increased to 95%。

關鍵字(中)

★ 嵌入式系統
★ 忙訊號分離
★ 方位偵測

關鍵字(英)

★ Embedded System
★ Blind Source Separation
★ TDOA

論文目次

中文摘要 i
英文摘要 ii
圖目錄 iii
表目錄 v
章節目次 vi
第一章緒論 1
1.1 前言 1
1.2 研究動機與目的 1
1.3 研究方法與章節概要 2
第二章文獻概要 3
2.1 嵌入式系統簡介 3
2.2 方位偵測文獻探討 3
2.3 混合音源分離文獻探討 4
2.3.1 混合模型(Mixing Model) 4
2.3.1.1 旋積混合模型(Convolutive Mixtures Model) 4
2.3.1.2 即時混合模型(Instantaneous Mixing Model) 5
2.3.1.3 在頻率域上的旋積混合 5
2.3.2 Over and Under-Determined 6
2.3.3 分離模型(Separation Model) 6
2.3.3.1 Feed-Forward Structure 7
2.3.3.2 Feedback Structure 7
2.3.3.2 兩個輸入兩個輸出系統 8
2.3.4 分離原理 9
2.3.4.1 Independent Component Analysis(ICA) and BSS 10
第三章方位偵測嵌入式系統設計 11
3.1 演算法流程與簡介 11
3.1.1 聲音截取-VAD 11
3.1.2 聲音增强-頻譜刪除法 12
3.1.3 方位偵測- TDE-to-DOA方法 13
3.2 嵌入式系統硬體設備 15
3.2.1 週邊配備 16
3.2.2 DSP核心 17
3.2.3 多通道音訊輸入擴充卡 18
3.2.4 效能驗證 19
3.2.4.1 TI TMS320C6713 DSK 使用 19
3.3 CCS軟體 20
3.3.1 TI CCS軟體 21
3.3.2 内部記憶體使用設定 23
第四章混合音源分離嵌入式系統設計 25
4.1 演算法流程與簡介 25
4.1.1 混合音源分離 25
4.2 嵌入式系統硬體設備 26
4.2.1 Raspberry Pi 2 27
4.2.2 Cirrus Logic Audio Card音訊模組 29
4.3 Raspberry Pi 2 GPIO引脚與應用 30
4.3.1 電源 32
4.3.2 一般用途 32
4.3.3 I²C 32
4.3.4 UART 33
4.3.5 SPI 33
4.4 Raspberry Pi 2 GPIO程式庫 33
4.4.1 WiringPi 33
4.4.2 Pi4J 34
第五章實驗結果 35
5.1 方位偵測嵌入式系統 35
5.1.1 實驗環境設置 35
5.1.2 實驗環境器材 36
5.1.3 實驗結果 38
5.2 混合音源分離嵌入式系統 40
5.2.1 實驗環境設置 40
5.2.2 實驗環境器材 42
5.2.3 實驗結果 43
第六章結論及未來研究方向 48
Reference 49

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指導教授

王家慶(Jia-Ching Wang)

審核日期

2016-7-26

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