Self-clustering non-euclidean kernels for improving the estimation of multidimensional TDOA of multiple sources

2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11

Volumn , Issue , 2011, Pages 52-57

  Nesta, Francesco ^a   Brutti, Alessio ^a  

^a ITC IRST   (Italy)

Author keywords

blind source separation (BSS); independent component analysis (ICA); kernel methods; TDOA estimation

Indexed keywords

DATA ASSOCIATION; GAUSSIAN KERNELS; HIGH-ORDER; HIGH-ORDER STRUCTURE; INTERFERENCE PROBLEMS; KERNEL METHODS; MIXING PARAMETERS; MULTI-DIMENSIONAL SPACE; MULTIPLE SOURCE; NON-EUCLIDEAN; PARAMETERS ESTIMATED; PERMUTATION PROBLEMS; SPATIAL ALIASING; STATISTICAL FRAMEWORK; TDOA ESTIMATION;

ACOUSTICS; BLIND SOURCE SEPARATION; CLUSTER ANALYSIS; ESTIMATION; FREQUENCY ESTIMATION; MICROPHONES; SPEECH COMMUNICATION; TIME DELAY;

INDEPENDENT COMPONENT ANALYSIS;

EID: 79961143243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HSCMA.2011.5942409     Document Type: Conference Paper

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