INVESTIGADORES
DI PERSIA Leandro Ezequiel
congresos y reuniones científicas
Título:
Frequency-domain independent component analysis by overlap piecewise integration of separation processing
Autor/es:
TADASHIGE NOGUCHI; KENKO OHTA; LEANDRO DI PERSIA; MASUZO YANAGIDA
Lugar:
Hawaii
Reunión:
Congreso; Fourth Joint Meeting of the ASA and ASJ; 2006
Institución organizadora:
Acoustical society of America and Acoustical Society of Japan
Resumen:
Conventional frequency-domain ICA yields the optimal separation for each frequency bin, but it suffers from the permutation problem. The authors have developed permutation-free ICA as a separation scheme by obtaining the separation matrix for a long vector consisting of temporal changes of all frequency components of the received signal. The permutation-free ICA, however, only yields a common separation matrix for all frequency bins. So, the separation matrix obtained in the permutation-free ICA has a common directivity pattern for all frequency bins, though the method can avoid the permutation problem. Proposed in this paper is a scheme of multibin ICA that deconvolves mixed signals into original source signals by shifting piecewise integration of a set of frequency bins consisting of the frequency bin in concern and neighboring frequency bins. The proposed method can yield nearly optimal directivity in the form of the separation matrix for each frequency bin, avoiding the permutation problem. Performance of multibin ICA is compared with those of conventional frequency-domain ICA and permutation-free ICA employing segmental SNR as an evaluation index.