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Underdetermined blind separation and tracking of moving sources based ONDOA-HMM
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
This paper deals with the problem of the underdetermined blind separation and tracking of moving sources. In practical situations, sound sources such as human speakers can move freely and so blind separation algorithms must be designed to track the temporal changes of the impulse responses. We propose solving this problem through the posterior inference of the parameters in a generative model of an observed multichannel signal, formulated under the assumption of the sparsity of time-frequency
doi:10.1109/icassp.2014.6854189
dblp:conf/icassp/HiguchiTNK14
fatcat:b7kwenwekjfttk55pe5xvgczxy