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研究生:陳彥名
研究生(外文):Yen-Ming Chen
論文名稱:以獨立成分分析法萃取背景噪音中語音訊號之研究--於助聽器可能之應用
論文名稱(外文):Extracting Speech from Background Noise by Independent Component Analysis--Potential Application for Hearing Aids
指導教授:楊順聰楊順聰引用關係
指導教授(外文):Shuenn-Tsong Young
學位類別:碩士
校院名稱:國立陽明大學
系所名稱:醫學工程研究所
學門:工程學門
學類:生醫工程學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:中文
論文頁數:74
中文關鍵詞:獨立成份分析助聽器全方向性麥克風訊噪比
外文關鍵詞:Independent Component AnalysisHearing AidsOmni-Directional microphoneSignal to Noise Ratio
相關次數:
  • 被引用被引用:21
  • 點閱點閱:418
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  • 下載下載:91
  • 收藏至我的研究室書目清單書目收藏:0
傳統助聽器無法只選擇性地放大語音訊號,佩戴助聽器的使用者在與人溝通時,若遇到有環境噪音,助聽器會同時將背景雜訊一起放大,使得聽障者無法清楚地了解溝通者的語意。許多研究曾提出各種噪音消除演算法,用於消除某些特定頻率噪音,然而這些方法通常無法有效地降低或消除複雜、多變的環境噪音;即便是目前最常用的適應性噪音消除法,也無法有效地從複雜的環境噪音中,取出我們所要的語音訊號。
噪音與語音在空間上互為獨立,且有線性相加的特性,本論文基於此一特性,擬利用獨立成份分析方法(Independent Component Analysis, ICA),萃取在複雜環境中語音訊號,以改善助聽器佩戴者在環境噪音中的溝通能力與舒適性;系統之設計主要是配合兩個在空間上距離相近的全方向性麥克風,讓原本在真實環境中,無法分離含時間延遲差距(Time delay)訊號的Infomax ICA演算法,可以分離出環境噪音中的語音訊號,以提昇訊噪比與語音清晰度;透過一系列之模擬實驗,探討在各種不同真實環境噪音下、各種不同輸入聲源訊噪比環境下,ICA的語音萃取能力,找出最佳化之系統配置與ICA演算,解決助聽器佩戴者所面臨之問題,使其無論在居家、工作等多變的環境噪音中,都能改善在聽覺上的舒適與溝通的便利。
When a hearing aid (HA) wearer communicates with the others, the hearing aids not only amplify speech sound what you want, but also amplify unwanted background noise. The HA’s wearer can’t then understand completely the communication speech well due to noise interference. Many researchers propose various algorithms of noise cancellation for eliminating certain noise. However, these methods usually can’t effectively reduce complicated and challenging environmental noise. Even for the most commonly used adaptive noise cancellation (ANC), they are unable to extract desirable speech signals from complicated environmental noise.
Noise and speech are independent to each other with the characteristic of linear addition mixing in the space. Basing on the feature, the research utilizes Independent Component Analysis (ICA) to extract speech signal from complicated environmental noise. We try to enhance the SNR (Signal to Noise Ratio) and intelligibility of hearing aids to help HA’s wearers improve their hearing comfort and communication ability in challenging environment with noise. The system design is to coordinate two spatially nearby omni-directional microphones. The existing InfomaxICA can’t directly separate signal with time delay signal in real life. Through a series of simulation, we investigate the speech extraction ability of ICA in different real noise environments and input SNR to find out the optimal system setup and ICA algorithm. We try to enhance SNR and intelligibility of hearing aids to help the users improving their hearing comfort and communication at home, office or challenging environment etc.
[1] 張錦松,韓光榮,張錦輝, ”噪音振動控制”, p.42~44; p.66, 高立圖書, 2003.
[2] “http://www.moi.gov.tw/”,中華民國內政部網頁.
[3] “http://www.amplifon.com/GetLangPage.asp?src=/Services/Prospects.asp”
[4] Jamieson, D.G., Brennan R.L., and Cornelisse L.E., “Evaluation of a speech enhancement strategy with normal-hearing and hearing-impaired listeners.”, Ear and Hearing, Vol.16(3), p.274-286, 1995.
[5] Alcántara J.I., Moore B.C.J., Kühnel V. and Launer S., “Evaluation of the noise reduction system in a commercial digital hearing aid.”, International Journal of Audiology, Vol.42, p.34-42, 2003.
[6] Levitt, H. “Noise reduction in hearing aids: a review.”, Journal of Rehabilitation Research and Development, Vol.38(1), p.111-121, 2001.
[7] Whitmal N.A., Rutledge J.C. and Cohen J., “Reducing Correlated Noise in Digital Hearing Aids.” IEEE Engineering in Medicine and Biology Magazine, Vol.15(5), p.88–96, 1996.
[8] Killion M.C., “Hearing aids: Past, present, future: Moving toward normal conversations in noise.”, British Journal of Audiology, Vol.31, p.141-148, 1997.
[9] Vanden B.J. and Wouters, J., “An adaptive noise canceller for hearing aids using two nearby microphones”, Journal of the Acoustical Society of America, Vol.103, p.3621-3626, 1998.
[10] Maj J.B., Wouters J. and Moonen M., “A comparison of different methods for noise reduction in hearing aids”, in Signal Processing Symposium, Hilvarenbeek, The Netherlands, Mar 2000.
[11] Widrow B., and Luo F., “Microphone arrays for hearing aids: an overview”, Speech Communication, Vol.39, p.139-146, 2003.
[12] Huang, T.W., Li, G.Y., Chang, C.H., Tai, C.C., Liang, D.S. and Weng, G.C., “The Application of Adaptive Beamforming for Hearing Aids Background Noise Cancellation.”, Journal of Technology, Vol.18(1), p.47–52, 2003.
[13] Gennum Corp. “Directional hearing aid tutorial.”, [Compact Disc.], 2000.
[14] Stone, J.V.,“Independent Component Analysis: an Introduction.”, Trends in Cognitive Sciences, Vol.6, p.59-64, 2002.
[15] Bell A.J. and Sejnowski T.J., “An information maximisation approach to blind separation and blind deconvolution.”, Neural Computation, Vol.7(6), p.1129-1159, 1995.
[16] Lee, T.W., “Independent Component Analysis: Theory and Applications”, Kluwer Academic Publishers, Boston, ISBN: 0-7923-8261-7, p.7-11; p.18-21; p.27-49; p.83-100, 1998.
[17] Hyvärinen A. and Oja E.,“Independent Component Analysis: Algorithms and Applications.” Neural Networks, Vol.13(4-5), p.411-430, 2000.
[18] Mansour A. and Kawamoto M.,”A Classification of ICA Algorithms According to their Applications & Performances.”, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E86-A(3), p. 620-633, 2003.
[19] Hyvärinen A.,“Independent Component Analysis.”, John Wiley, New York, ISBN: 0-471-40540-X, p.147-163; p.188-190; p.446-448, 2001.
[20] Westner A.G., “Object-Based Audio Capture: Separating Acoustically-Mixed Sounds.” Thesis, Massachusetts Institute of Technology, p.23-24, 1999
[21] Sound Ideas--- Sound Ideas; sound effects library, [Compact Disc.]
[22] 張家芳, ”A New Time-domain Algorithm For Audio Signal Separation Based On FastICA”, 國家圖書館, 2003.
[23] Asano, F., Ikeda, S., Ogawa, M., Asoh, H. and Kitawaki, ”Combined approach of array processing and independent component analysis for blind separation of acoustic signals”, IEEE transaction on Audio and Speech Processing, Vol.11(3), p.204-215, 2003.
[24] Sandlin R.E.,“Textbook of Hearing Aid Amplification”, Singular Publishing Group, San Diego, ISBN : 1-565-93997-2, p.45, 2000.
[25] Mukai R., Araki S., Sawada H., Makino S., “Evaluation of Separation and Dereverberation Performance in Frequency Domain Blind Source Separation” , Acoustical Science and Technology, Vol.25(2), p.119-126, 2004.
[26] Visser E., Otsuka M., Lee T-W., “A Spatio-Temporal Speech Enhancement Scheme for Robust Speech Recognition in Noisy Environments”, Speech Communications, Vol.41, p.393-407, 2003.
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