Subband-based blind signal separation for noisy speech recognition

Electronics Letters

Volumn 35, Issue 23, 1999, Pages 2011-2012

  Park, Hyung Min ^a   Jung, Ho Young ^a   Lee, Te Won ^b,c   Lee, Soo Young ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^c UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; LOUDSPEAKERS; MARKOV PROCESSES; MICROPHONES; SIGNAL TO NOISE RATIO; SPECTRUM ANALYSIS; SPURIOUS SIGNAL NOISE;

INDEPENDENT COMPONENT ANALYSIS; NOISY SPEECH RECOGNITION; SUBBAND BASED BLIND SIGNAL SEPARATION;

SPEECH RECOGNITION;

EID: 0033343361     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19991358     Document Type: Article

References (4)

1. LEE, T.-W., BELL, A.J., and ORGLMEISTER, R.: 'Blind source separation of real world signals'. Proc. Int. Conf. Neural Networks, 1997, pp. 2129-2134
2. BELL, A., and SEJNOWSKI, T.: 'An information-maximization approach to blind separation and blind deconvolution', Neural Comput., 1995, 7, pp. 1129-1159
3. AMARI, S., CICHOCKI, A., and YANG, H.: 'A new learning algorithm for blind signal separation', Adv. Neural Inf. Process. Syst., 1996, 8, pp. 757-763
4. SMARAGDIS, P.: 'Information theoretic approaches to source separation'. Masters Thesis, MIT Media Arts and Sciences Dept., 1997