Vous constatez une erreur ?
NaN:NaN
00:00
In this study, we propose a new application using multichannel source separation technique based on Non-negative Tensor Factorization which is generalization of Non-negative Matrix Factorization. The application enables us to extract sources in certain direction that the user specified and to manipulate as the user wishes to be such as zoom up or zoom down. All the components of factorization are supposed to be trained such that each component should be assigned to diverse direction so that the system can simply choose and extract only the components assigned to the direction of user's demand. However, due to the high possibility of local minimum, it is likely that the sources supposed to be trained in the certain direction are wrongly trained in the different directions. To overcome this problem, we propose a new initialization method based on Inter-channel Intensity Difference between the channels. This improves the quality of separation measured by SDR, SIR and SAR, which are standard metrics of source separation technique nowadays.
Vous constatez une erreur ?
1, place Igor-Stravinsky
75004 Paris
+33 1 44 78 48 43
Du lundi au vendredi de 9h30 à 19h
Fermé le samedi et le dimanche
Hôtel de Ville, Rambuteau, Châtelet, Les Halles
Institut de Recherche et de Coordination Acoustique/Musique
Copyright © 2022 Ircam. All rights reserved.