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Zhang Li-yan, Yin Fu-liang . An Improved Speech Enhancement Method Based on SVD[J]. Journal of Electronics & Information Technology, 2008, 30(2): 357-361. doi: 10.3724/SP.J.1146.2005.01655
Citation: Zhang Li-yan, Yin Fu-liang . An Improved Speech Enhancement Method Based on SVD[J]. Journal of Electronics & Information Technology, 2008, 30(2): 357-361. doi: 10.3724/SP.J.1146.2005.01655

An Improved Speech Enhancement Method Based on SVD

doi: 10.3724/SP.J.1146.2005.01655
  • Received Date: 2006-12-22
  • Rev Recd Date: 2007-06-22
  • Publish Date: 2008-02-19
  • This paper applies the microphone array speech enhancement method to the single microphone speech enhancement method, and proposes a new speech enhancement method based on Singular Value Decomposition(SVD). First, for the input matrix, the method adopts Jacobi singular value decomposition to get the singular value vector as the speech enhancement filter. Then the method multiplies the input matrix and the coefficient matrix of the filter to constitute the so called each channel signals. Finally, the method adopts microphone array beamforming method to gain the enhanced speech. The simulation shows that the proposed method can get rid of the addictive noise very well, and improve the speech quality.
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  • Boll S F. Suppression of acoustic noise in speech usingspectral subtraction[J].IEEE Trans. on Acoustics, Speech, andSignal Processing.1979, 27(2):113-120[2]Flanagan J L, Johaston J D, and Zahn T, et al..Computer-steered microphone arrays for sound transductionin large rooms[J].Journal of Acoustical Society of America.1985,78(5):1508-1518[3]Griffiths L J and Jim C W. An alternative approach tolinearly constrained adaptive beamforming[J].IEEE Trans. onAntennas and Propagation.1982, 30(1):27-34[4]Veen A J D, Deprettere E F, and Swindlhurst A L.Subspace-based signal analysis using singular valuedecomposition[J].Proc. IEEE.1993, 81(9):1277-1308[5]Doclo S and Moonen M. GSVD-based optimal filtering forsingle and multimicrophone speech enhancement. IEEETrans. on Signal Processing, 2002, 50(9): 2231-2244.[6]Doclo S and Moonen M. Robustness analysis of GSVD basedoptimal filtering and generalized sidelobe canceller forhearing aid applications. Proc. of the 1999 IEEEInternational Workshop on Acoustic Echo and Noise Control(IWAENC99), Pocono manor, Pennsy Lvania, USA, Sept.1999: 80-83.[7]Zhang Liyan.[J].Yin Fuliang, and Hou Daiwen. A SVD-basedbeamforming speech enhancement algorithm. Proc. of theInternational Conference on Electronic Measurement Instruments (ICEMI2005), Beijing, China.2005,:-[8]Luk FT. Computing the singular-value decomposition on theILLIAC IV[J].ACM Trans. on Mathematical Software.1980,6(4):524-539[9]Comon P and Golub G H. Tracking a few extreme singularvalues and vectors in signal processing[J].Proc. IEEE.1990,78(8):1327-1343[10]戈卢布 G H,范洛恩 C F,著,袁亚湘,等译. 矩阵计算. 北京:科学出版社,2001: 77-78.Golub G H and Vanloan C F. Matrix Computation. Beijing:Science Press, 2001: 77-78.[11]周长发. 科学与工程数值方法. 北京: 清华大学出版社,2002:119-129.Zhou Chang-fa. Science and Engineering NumericalComputation Method. Beijing: Tsighua University Press,2002: 119-129.[12]张贤达. 矩阵分析与应用. 北京:清华大学出版社,2004:367-380.Zhang Xian-da. Matrix Analysis and Applications. Beijing:Tsighua University Press, 2004: 367-380.[13]张贤达.信号处理中的线性代数. 北京:科学出版社,1997:322-334.Zhang Xian-da. Linear Algebra Applied in Signal Processing,Beijing: Science Press, 2001: 322-334.[14]易克初,田斌,付强. 语音信号处理. 北京:国防工业出版社,2000: 97-100.Yi Ke-chu, Tian Bin, and Fu Qiang. Speech Signal Processing.Beijing: National Defense Industry Process, 2000: 97-100.[15]Fischer S and Simmer K U. Beamforming microphone arraysfor speech acquisition in noisy environments. SpeechCommunication, 1996, 30(3): 215-227.
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