Adaptive beamforming with a minimum mutual information criterion

IEEE Transactions on Audio, Speech and Language Processing

Volumn 15, Issue 8, 2007, Pages 2527-2541

  Kumatani, Kenichi ^a,b   Gehrig, Tobias ^a   Mayer, Uwe ^a   Stoimenov, Emilian ^a   McDonough, John ^a,c   Wölfel, Matthias ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b IDIAP RESEARCH INSTITUTE   (Switzerland)

^c SAARLAND UNIVERSITY   (Germany)

Author keywords

Beamforming; Microphone arrays; Source separation; Speech recognition

Indexed keywords

ADAPTIVE BEAM-FORMING; AUTOMATIC SPEECH RECOGNITION; BEAM FORMERS; CONVENTIONAL BEAMFORMING; CROSS-CORRELATION COEFFICIENTS; DELAY AND SUMS; FAR FIELDS; GAUSSIAN; GAUSSIAN ASSUMPTIONS; GENERALIZED SIDELOBE CANCELLERS; MICROPHONE ARRAYS; MINIMUM MUTUAL INFORMATIONS; MMI CRITERIONS; NULLING; OUTPUT SIGNALS; SEPARATION PERFORMANCE; SIGNAL CANCELLATIONS; SOURCE SEPARATION; SPEECH SEPARATIONS; SUB BANDS; SUPER-GAUSSIAN; WEIGHT VECTORS; WORD ERROR RATES;

ANTENNA LOBES; BEAMFORMING; FEATURE EXTRACTION; MICROPHONES; PROBABILITY DENSITY FUNCTION; SEPARATION; SIGNAL ANALYSIS; SPEECH ANALYSIS; SPEECH RECOGNITION; TRELLIS CODES;

BLIND SOURCE SEPARATION;

EID: 50449099480     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2007.907430     Document Type: Article

References (33)

1. H. L.Van Trees, Optimum Array Processing. NewYork:Wiley, 2002.
2. L. C. Parra and C. V. Alvino, "Geometric source separation: Merging convolutive source separation with geometric beamforming," IEEE Trans. Speech Audio Process., vol. 10, no. 6, pp. 352-362, Sep. 2002.
3. H. Buchner, R. Aichner, and W. Kellermann, "Blind source seperation for convolutive mixtures: A unified treatment," in Audio Signal Processing for Next-Generation Multimedia Communication Systems, Y. Huang and J. Benesty, Eds. Boston, MA: Kluwer, 2004, pp. 255-289.
4. A. Hyvärinen and E. Oja, "Independent component analysis: Algorithms and applications," Neural Netw., vol. 13, no. 4-5, pp. 411-430, 2000.
5. M. Lincoln, I. McCowan, I. Vepa, and H. K. Maganti, "The multichannel wall street journal audio visual corpus (mc-wsj-av): Specification and initial experiments," in Proc. ASRU, 2005, pp. 357-362.
6. Y. L. Luke, The Special Functions and Their Approximations. New York: Academic, 1969.
7. R. G. Gallager, Information Theory and Reliable Communication. New York: Wiley, 1968.
8. T. W. Anderson, An Introduction to Multivariate Statistical Analysis. New York: Wiley, 1984.
9. K. Fukunaga, Introduction to Statistical Pattern Recognition. New York: Academic, 1990.
10. P. P. Vaidyanathan, Multirate Systems and Filter Banks. Englewood Cliffs, NJ: Prentice-Hall, 1993.
11. J. M. de Haan, N. Grbic, I. Claesson, and S. E. Nordholm, "Filter bank design for subband adaptive microphone arrays," IEEE Trans. Speech Audio Process., vol. 11, no. 1, pp. 14-23, Jan. 2003.
12. D. P. Bertsekas, Nonlinear Programming. Belmont, MA: Athena Scientific, 1995.
13. J. B. Allen and D. A. Berkley, "Image method for efficiently simulating small-room acoustics," J. Acoust. Soc. Amer., vol. 65, no. 4, pp. 943-950, Apr. 1979.
14. F. D. Neeser and J. L. Massey, "Proper complex random processes with applications to information theory," IEEE Trans. Inf. Theory, vol. 39, no. 4, pp. 1293-1302, Jul. 1993.
15. H. Brehm and W. Stammler, "Description and generation of spherically invariant speech-model signals," Signal Process., vol. 12, pp. 119-141, 1987.
16. J. McDonough and K. Kumatani, Minimum mutual information beamforming Interactive Syst. Lab. Univ. Karlsruhe, Karlsruhe, Germany, Tech. Rep. 107, Aug. 2006.
17. T. Gehrig, U. Klee, J. McDonough, S. Ikbal, M.Wölfel, and C. Fügen, "Tracking and beamforming for multiple simultaneous speakers with probabilistic data association filters," in Proc. Interspeech, 2006, pp. 2594-2597.
18. M. Wölfel and J. McDonough, "Minimum variance distortionless response spectral estimation: Review and refinements," IEEE Signal Process. Mag., vol. 22, no. 5, pp. 117-126, Sep. 2005.
19. M. J. F. Gales, "Semi-tied covariance matrices for hidden Markov models," IEEE Trans. Speech Audio Process., vol. 7, no. 3, pp. 272-281, May 1999.
20. M. Mohri and M. Riley, "Network optimizations for large vocabulary speech recognition," Speech Commun., vol. 28, no. 1, pp. 1-12, 1999.
21. G. Saon, D. Povey, and G. Zweig, "Anatomy of an extremely fast LVCSR decoder," in Proc. Interspeech, Lisbon, Portugal, 2005, pp. 549-552.
22. A. Ljolje, F. Pereira, and M. Riley, "Efficient general lattice generation and rescoring," in Proc. Eurospeech, Budapest, Hungary, 1999, pp. 1251-1254.
23. J. Fransen, D. Pye, T. Robinson, P. Woodland, and S. Young, "WSJCAM0 corpus and recording description," Cambridge Univ. Eng. Dept. (CUED), Speech Group, Cambridge, UK, Tech. Rep. CUED/F-INFENG/TR.192, Sep. 1994.
24. J. Deller, J. Hansen, and J. Proakis, Discrete-Time Processing of Speech Signals. New York: Macmillan, 1993.
25. T. Anastasakos, J. McDonough, R. Schwarz, and J. Makhoul, "A compact model for speaker-adaptive training," in Proc. ICSLP, 1996, pp. 1137-1140.
26. L. Uebel and P. Woodland, "Improvements in linear transform based speaker adaptation," in Proc. ICASSP, 2001, vol. 1, pp. 49-52.
27. L. Welling, H. Ney, and S. Kanthak, "Speaker adaptive modeling by vocal tract normalization," IEEE Trans. Speech Audio Process., vol. 10, no. 6, pp. 415-426, Sep. 2002.
28. M. J. F. Gales, "Maximum likelihood linear transformations for HMMbased speech recognition," Comput. Speech Lang., vol. 12, no. 2, pp. 75-98, Apr. 1998.
29. C. J. Leggetter and P. C. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models," Comput. Speech Lang., vol. 9, pp. 171-185, Apr. 1995.
30. S. Wolfram, The Mathematica Book. Cambridge, MA: Cambridge Univ. Press, 1996.
31. W. Rudin, Real and Complex Analysis. Boston, MA: McGraw-Hill, 1987.
32. R. E. Greene and S. G. Krantz, Function Theory of One Complex Variable. New York: Wiley, 1997.
33. T. Kailath, Linear Systems. Englewood Cliffs, NJ: Prentice-Hall, 1980.