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研究生:張家銘
研究生(外文):Jia-Ming Chang
論文名稱:應用適應性濾波器於通訊問題之背景噪音消除的研究
論文名稱(外文):A study of background noise cancellation in communication systems by adaptive filters
指導教授:陳孝武
指導教授(外文):Xiao-Wu Chen
學位類別:碩士
校院名稱:逢甲大學
系所名稱:自動控制工程所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2005
畢業學年度:93
語文別:中文
論文頁數:64
中文關鍵詞:主動語音偵測正規化最小均方演算法背景噪音
外文關鍵詞:Normalized Least Mean Square AlgorithmBackground noiseEntropyActive Voice DetectorAVDNLMS
相關次數:
  • 被引用被引用:2
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  • 下載下載:0
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中文摘要

本研究的目的在於建立一個能應用於通訊設備的背景噪音消除系統。一般來說會影響通訊品質的因素有噪音與迴音現象,而本研究主要是要消除發話端的背景噪音,使收話端不會聽到發話端的背景噪音且能接收到完整的語音信號。在研究的過程中使用了適應性演算法中的正規化最小均方(Normalized Least Mean Square, NLMS)演算法來消除發話端的背景噪音,並配合使用主動語音偵測(Active Voice Detector, AVD)來改善因為使用NLMS而造成的語音失真現象,最後以數位信號處理的技術將主動式背景噪音消除系統實現在定點式DSP發展平台之C5416DSK等硬體上。在本研究中建立了完整的主動式背景噪音消除系統,包括軟體與硬體,未來本實驗室可以以此系統為基礎在噪音消除的研究方向上繼續深入探討。
Abstract

The purpose of this study lies in setting up an active background noise cancellation system which can be applied to the communication apparatus. Generally speaking, phenomena of noise and echo are factors to influence communication quality. This study is mainly to cancel background noise of the calling party. So the listener will not hear background noise of the calling party and can hear the intact voice signal of the calling party. During the process of studying, we have used NLMS algorithm to cancel background noise of the calling party, and have used AVD to improve the voice signal''s distorted phenomenon that is made by using NLMS. Finally, with the digital signal processing technology we have realized active background noise cancellation system on the hardware of the fixed DSP development board, such as C5416DSK, etc.. We have set up active background noise cancellation system in this study, which including the software and hardware. Our laboratory can base on this system to do the deeper study continuously in the study direction of the noise cancellation in the future.
目錄

誌謝 i
中文摘要 ii
Abstract iii
目錄 iv
圖目錄 vi
表目錄 viii
第1章 緒論 1
1.1 研究背景與動機 1
1.2 國內外相關研究 2
1.3 研究目的 3
1.4 章節概要 3
第2章 適應性演算法與主動語音偵測 5
2.1 噪音消除的概念 5
2.1.1 被動式的噪音與迴音消除的方法: 5
2.1.2 主動式噪音消除的概念: 6
2.1.3 主動式迴音消除的概念: 7
2.2 背景噪音消除系統的架構 8
2.3 適應性演算法介紹 9
2.3.1 最小均方(LMS)演算法[3] 10
2.3.2 正規化最小均方(NLMS)演算法[3] 13
2.4 主動語音偵測(AVD)介紹 14
2.4.1 Entropy與主動語音檢測[16] 15
2.4.2 使用二次方程式近似 降低DSP運算量 19
2.4.3 計算EE-Feature的過程[16] 23
第3章 主動式背景噪音消除系統模擬 26
3.1 主動式背景噪音消除系統只使用NLMS演算法的模擬 26
3.2 主動式背景噪音消除系統加入AVD的模擬 32
第4章 使用C5416DSK實現背景噪音消除系統 37
4.1 數位信號處理器 37
4.2 實驗設備 38
4.2.1 硬體發展平台 38
4.2.2 軟體發展平台 41
4.3 主動式背景噪音消除系統程式發展流程 42
4.4 運算量分析及討論 44
4.5 實做架構 49
第5章 實驗結果與未來展望 51
參考文獻 52
參考文獻

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