博碩士論文 106521069 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:12 、訪客IP:3.226.245.48
姓名 周茹蒨(Ju-Chien Chou)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 運用TMS320C6713開發具有主動除噪功能的耳罩式耳機
(Development of a headphone with active noise cancellation utilizing TMS320C6713)
相關論文
★ 獨立成份分析法於真實環境中聲音訊號分離之探討★ 口腔核磁共振影像的分割與三維灰階值內插
★ 數位式氣喘尖峰氣流量監測系統設計★ 結合人工電子耳與助聽器對中文語音辨識率的影響
★ 人工電子耳進階結合編碼策略的中文語音辨識成效模擬--結合助聽器之分析★ 中文發聲之神經關聯性的腦功能磁振造影研究
★ 利用有限元素法建構3維的舌頭力學模型★ 以磁振造影為基礎的立體舌頭圖譜之建構
★ 腎小管之草酸鈣濃度變化與草酸鈣結石關係之模擬研究★ 口腔磁振影像舌頭構造之自動分割
★ 微波輸出窗電性匹配之研究★ 以軟體為基準的助聽器模擬平台之發展-噪音消除
★ 以軟體為基準的助聽器模擬平台之發展-回饋音消除★ 模擬人工電子耳頻道數、刺激速率與雙耳聽對噪音環境下中文語音辨識率之影響
★ 用類神經網路研究中文語音聲調產生之神經關聯性★ 教學用電腦模擬生理系統之建構
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2022-10-30以後開放)
摘要(中) 本研究目的是利用德州儀器TMS320C6713開發板(Texas Instruments, Dallas, Texas, USA)以主動式噪音控制(Active Noise Cancellation, ANC)中的反饋式(Feedback)系統為基本架構,應用於耳罩式耳機。本研究分為軟體模擬與硬體實現兩部分,而此兩部分實驗的噪音語料及語音語料都使用相同的,而噪音分為單頻、複頻、以及多頻,語音則是使用之前實驗室學長錄製的語料。第一部分利用MATLAB軟體比較三種演算法,分別為濾波X最小均方演算法(FXLMS)、濾波X正規化最小均方演算法(FXNLMS),以及洩漏濾波X最小均方演算法(Leaky-FXLMS),模擬耳機內有無語音狀態下的消噪效果,比較出除噪效果最佳的演算法。而第二部分利用TMS320C6713開發板結合耳機與其他相關電路實現軟體模擬中最佳的運算方法。硬體實現中分為無語音和有語音兩部分實驗,兩者實驗差別在於,耳機的喇叭放出的聲音有無語音。無語音的實驗中,單純消除外界噪音,在單頻和複頻噪音平均消噪達15 dB以上,在多頻噪音下,可降噪的頻率範圍內有除噪效果的。而有語音的實驗中,單頻噪音訊噪比平均10dB以上,複頻噪音訊噪比平均5dB左右,但多頻噪音效果就不是很明顯。結論是,無論在何種噪音環境下,大都可以降低外在的噪音干擾,同時耳機的音訊輸入都沒有失真,保有原先的語音解析度。
摘要(英) This thesis presents the implementation of an adaptive feedback active noise cancellation (ANC) system for headphone application utilizing TMS320C6713 DSP Starter Kit.
The experiment in this study was divided into two sections: the software simulation and the headphone implementation. In this research, the speech and noise were used the same in two parts. Noise was divided into three sections: single frequency noise, dual frequency noise, and multi-frequency noise. And the speech was recoded from the laboratory senior. In the first part, this research used MATLAB to compare three ANC algorithms: Filtered-X Least Mean Square (FXLMS), Filter-X Normalized Least Mean Square (FXNLMS), and Leaky Filtered-X Least Mean Square (Leaky-FXLMS). The denoising performance of the three algorithms with and without speech output from the headphone were simulated. The most effective method of algorithm in reducing unwanted noise was chosen. In the second part, the optimal method in previous simulation was implemented utilizing TMS320C6713 board combined with headphone and the circuit related to the experiment. There were two parts of experiments in hardware, they were different from whether having speech from headphone or not. In the experiment without speech, the results showed the noise reduction more than 15dB in average in single frequency and dual frequency noise, and the result showed the effectiveness of reducing noise in possible reduction frequency range in multi-frequency noise ; the experiment with speech, the results showed more than 10dB in average noise reduction in single frequency and noise reduction around 5dB in average in dual frequency noise, but the result of attenuating noise was not obvious in multi-frequency noise. In conclusion, in all kinds of noise environment, most results showed the algorithm using in hardware not only could reduce unwanted noise but also allowed the desired speech signal to pass through without cancellation and maintain the original speech quality at the same time.
關鍵字(中) ★ 主動式噪音控制
★ 數位信號處理
★ Filtered-X Least Mean Square (FXLMS)
★ Filter-X Normalized Least Mean Square (FXNLMS)
★ Leaky Filtered-X Least Mean Square (Leaky-FXLMS)
關鍵字(英) ★ Active noise control
★ Digital signal procession
★ Filtered-X Least Mean Square (FXLMS)
★ Filter-X Normalized Least Mean Square (FXNLMS)
★ Leaky Filtered-X Least Mean Square (Leaky-FXLMS)
論文目次 摘要 Ⅰ
Abstract Ⅲ
致謝 Ⅴ
目錄 Ⅵ
圖目錄 Ⅸ
表目錄 XV
第一章 緒論 1
1.1研究動機 1
1.2文獻回顧 3
1.3研究目的 5
1.4論文架構 6
第二章 除噪系統簡介 8
2.1除噪方法種類 8
2.1.1被動式除噪 8
2.1.2主動式除噪 9
2.2主動除噪系統架構 10
2.2.1前饋式除噪控制系統 10
2.2.2反饋式除噪控制系統 11
2.3自適應濾波器演算法 12
2.3.1最小均方演算法(LMS) 13
2.3.2正規化最小均方演算法(NLMS) 15
2.3.3濾波X最小均方演算法(FXLMS) 16
2.3.4濾波X正規化最小均方演算法(FXNLMS) 20
2.3.5洩漏濾波X最小均方演算法(Leaky-FXLMS) 21
2.4反饋式控制系統(Feedback ANC System) 22
2.5語音結合反饋式控制系統(Audio-Integrated Feedback ANC
System) 24
第三章 軟體模擬及其結果與討論 27
3.1實驗語料與噪音語料 27
3.2除噪系統的實現與實驗流程 28
3.2.1無語音之噪音消除 28
3.2.2有語音之噪音消除 37
第四章 硬體實現方法及其結果與討論 45
4.1硬體設備與架構 45
4.2主動除噪的實驗流程與實驗方法 50
4.3主動除噪的實驗結果 52
4.3.1次級路徑之估計 52
4.3.2無語音之噪音消除實驗 54
4.3.3有語音之噪音消除實驗 60
4.4結果討論 68
第五章 結論與未來展望 70
5.1結論 70
5.2未來展望 71
參考資料 73
參考文獻 1. B.Widrow and S.D.Stearns,Adaptive signal processing,Englewood Cliffs,NJ:Prentice-Hall,1985
2. Cheng-Yuan Chang, Antonius Siswanto, Chung-Ying Ho,
Ting-Kuo Yeh, Yi-Rou Chen, and Sen M. Kuo, “Listening in a Noisy Environment: Integration of active noise control in audio products”, IEEE Consumer Electronics Magazine ( vol.5 , Issue: 4 ,pp. 34 – 43, 2016 )
3. G. E. Warnaka, L. A. Poole, and J. Tichy, “Active acoustic attenuators,”U.S. Patent 4473906, 1984.
4. Iman Tabatabaei Ardekani and Waleed H. Abdulla, “FxLMS-based Active Noise Control: A Quick Review”, APSIPA ASC 2011 Xi’an.
5. I. Tabatabaei Ardekani and W.H.Abdulla, “Theoretical convergence analysis of FxLMS algorithm”, Journal of Signal Processing Volume 90 Issue 12, December, 2010 Pages 3046-3055
6. J. C. Burgess, “Active adaptive sound control in a duct: a computer simulation,”Journal of Acoustical Society of America,vol.70,no.3,pp. 715-726,1981.
7. Kuan-Chun Chen, Cheng-Yuan Chang, Sen M. Kuo, “Active noise control in a duct to cancel broadband noise”, 1st Nommensen International Conference on Technology and Engineering
8. P.Lueg, Process of silencing sound oscillations, U.S. Patent 2 043 416,1936.
9. S. Elliott, I. M. Stothers, and P. A. Neslson, “A multiple error LMS algorithm and its applications to active control of sound and vibration,”Acoustic, Speech and Signal Processing Processing, IEEE Transactions on, vol. 35, pp. 1423–1434, 1987.

10. S. M. Kuo and D. R. Morgan, Active Noise Control Systems Algorithms and DSP Implementation, New York: Wiley, 1996.
11. W.S. Gan and S.M. Kuo, “An integrated audio and active noise control headsets”, IEEE Transactions on Consumer Electronics ( vol.48, Issue: 2 pp. 242 – 247, 2002 )
12. 行政院環境保護署 – 噪音管制資訊網
13. 黃俊仁,“主動式降噪安全帽”,中原大學電機工程學系碩士論文,2010
14. 葉定國,“風扇之全域主動式噪音消除”,中原大學電機工程學系碩士論文,2016
15. 張晉維,“主動式噪音控制耳機之設計與實現”,台灣科技大學電子工程系碩士論文,2009
16. Honda co.Active Noise Cancellation(ANC). [Online]. Available: 21/01/2016 http://www.honda.co.nz/technology/driving/anc/
17. 勞動部職業安全衛生署-2017 https://tmsc.osha.gov.tw/upfiles/DF4/b1506414928.pdf
指導教授 吳炤民(Chao-Min Wu) 審核日期 2019-11-1
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明