An Improved permutation solver for blind signal separation based front-ends in robot audition

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2008, Pages 2172-2177

  Even, Jani ^a   Saruwatari, Hiroshi ^a   Shikano, Kiyohiro ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SIGNAL SEPARATION; COCKTAIL PARTY; DIFFUSE BACKGROUND; FREQUENCY DOMAINS; HANDS-FREE; MODEL RESULTS; NEW APPROACHES; POINT SOURCES; ROBOT AUDITION; SEPARATION PERFORMANCE; TARGET SPEECH;

ACOUSTIC NOISE; INTELLIGENT ROBOTS; SPEECH COMMUNICATION;

SEPARATION;

EID: 67149117090     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4650602     Document Type: Conference Paper

References (13)

1. M.S. Pedersen et al., "A survey of convolutive blind source separation methods," Springer Handbook on Speech Communication, 2007.
2. H. Saruwatari et al., "Blind source separation combining independent component analysis and beamforming," EURASIP Jour. on Appl. Sig. Proc., vol.2003, no.11, pp. 1135-1146, 2003.
3. Y. Takahashi et al., "Blind spatial subtraction array with independent component analysys for hands-free speech recognition," IWAENC (CD-ROM), 2006.
4. H. Sawada et al., "A robust and precise method for solving the permutation problem of frequency-domain blind source separation," IEEE Trans. Speech and Audio Proc., vol.12, pp. 530-538, 2004.
5. P. Comon, "Independent component analysis, a new concept ?," Signal Processing, vol.36, pp. 287-314, 1994.
6. V. Capdevielle, C. Serviere, and J.L. Lacoume, "Blind separation of wide-band sources in the frequency domain," Proc.ICASSP95, pp. 2080-2083, 1995.
7. C. Mejuto, A. Dapena, and L. Castedo, "Frequency-. domain infomax for blind separation of convolutive mixtures," Proc. ICA 2000, pp. 315-320, 2000.
8. L. Parras and C. Spence, "Convolutive blind source separation of nonstationary sources," IEEE Trans. on Speech and Audio Processing, vol.8, no.3, pp. 320-327, 2000.
9. T. Kim et al., "Independent vector analysis: An extension of ica to multivariates components," ICA'06, pp. 165-172, 2006.
10. N. Vlassis and Y. Motomura, "Efficient source adaptivity in independent component analysis.," IEEE Trans. Neural Networks, vol.12, no.3, pp. 559-566, 2001. (Pubitemid 32583555)
11. B.W. Silverman, "Kernel density estimation using the fast fourier transform," J. Roy. Statist. Soc. Ser. C: Appl. Statist., vol.31, no.1, pp. 93-99, 1982.
12. K. Ito et al., "Jnas: Japanese speech corpus for large vocabulary continuous speech recognition research," The Journal of Acoustical Society of Japan, vol.20, pp. 196-206, 1999.
13. A. J. Bell and T. J. Sejnowski, "An information maximization approach to blind separation and blind deconvolution," Neural Computation, vol.7, no.6, pp. 1129-1159, 1995.