Speech enhancement algorithm based on higher-order cumulants parameter estimation

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 9, 2009, Pages 2725-2733

  Dong, Jing ^a   Wei, Xiaopeng ^a   Zhang, Qiang ^b   Zhao, Lasheng ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b DALIAN UNIVERSITY   (China)

Author keywords

Conjugate gradient (CG); Higher order cumulants; Kalman filter; Parameter estimation; Speech enhancement

Indexed keywords

AR PARAMETER; CONJUGATE GRADIENT (CG); CONJUGATE GRADIENT ALGORITHMS; CUMULANTS; GAUSSIANS; HIGHER ORDER; HIGHER-ORDER CUMULANTS; NOISY SPEECH SIGNALS; SIMULATION RESULT; SPEECH ENHANCEMENT ALGORITHM; YULE-WALKER EQUATIONS;

ALGORITHMS; CELLULAR RADIO SYSTEMS; CONTROL THEORY; DIFFERENCE EQUATIONS; KALMAN FILTERS; METAL ANALYSIS; MOLAR MASS; PARAMETER ESTIMATION; SPEECH ENHANCEMENT;

CONJUGATE GRADIENT METHOD;

EID: 69949151374     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. H. T. Hu, F. J. Kuo and H. J. Wang, Supplementary schemes to spectral subtraction for speech enhancement, Speech Communication, vol. 36, pp. 205-218, 2002.
2. C. Jaeyoun, Speech Enhancement Using Microphone Array, Ohio State University, 2005.
3. P. D. Jacek and A. G. Rafik, Decoupled beamforming and noise cancellation, IEEE Trans. Instrumentation and Measurement, vol. 56, pp. 80-88, 2007.
4. Y. Zohra, G. Nedelko and C. Ingvar, Blind subband beamforming with time-delay constraints for moving source speech enhancement, IEEE Trans. Audio, Speech, and Language Processing, vol. 15, pp. 2360-2372, 2007.
5. W. R. Wu and P. C. Chen, Subband Kalman filtering for speech enhancement, IEEE Trans. Circuits and Systems-II, vol. 45, pp. 1072-1083, 1998.
6. G. Doblinger, An adaptive Kalman filter for the enhancement of noisy AR signals, Proc. of the IEEE ISCAS-98, vol. 5, pp. 305-308, 1998.
7. H. Puder, Speech enhancement with Kalman-filters in subbands, Proc. of the International Workshop on Acoustic Echo and Noise Control, pp. 203-207, 2001.
8. C. Y. Chen and G. T. C. Chiu, H-infinity robust controller design of media advance systems with time domain specifications, International Journal of Innovative Computing, Information and Control, vol. 4, pp. 813-828, 2008.
9. Q. Tian and N. Yamauchi, A new method of noise removal for body vibration signals in wireless sensor networks, International Journal of Innovative Computing, Information and Control, vol. 2, pp. 1259-1270, 2006.
10. S. Haykin, Adaptive Filter Theory, Fourth Edition, Prentice Hall, 2002.
11. X. D. Zhang, Analysis of Time Sequence: Higher-order Statistics Method, Tsinghua University Press, 1996.
12. K. Li, M. N. S. Swamy and M. O. Ahmad, An improved voice activity detection using higher order statistics, IEEE Trans. Speech Audio Process, vol. 13, pp. 965-974, 2005.
13. P. S. Chang and A. N. Wilison, Analysis of conjugate gradient algorithms for adaptive filtering, IEEE Trans. Signal Processing, vol. 48, pp. 409-418, 2000.
14. J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 3rd ed., X. L. Zhang and C. B. Xiao (Trans.), Publishing House of Electronics Industry, 2004.
15. J. Dong and X. H. Zhao, High resolution spectral estimator based on adaptive conjugate gradient algorithm, Systems Engineering and Electronics, vol. 27, pp. 1689-1691, 2005.