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ICASSP
2011
IEEE
14 years 3 months ago
Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation
Separating multiple tracks from professionally produced music recordings (PPMRs) is still a challenging problem. We address this task with a user-guided approach in which the sepa...
Alexey Ozerov, Cédric Févotte, Rapha...
ICASSP
2010
IEEE
14 years 10 months ago
Blind rhythmic source separation: Nonnegativity and repeatability
An unsupervised method is proposed aiming at extracting rhythmic sources from commercial polyphonic music whose number of channels is limited to one. Commercial music signals are ...
Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi
ICASSP
2009
IEEE
15 years 6 months ago
A fast asymptotically efficient algorithm for blind separation of a linear mixture of block-wise stationary autoregressive proce
We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instant...
Petr Tichavský, Arie Yeredor, Zbynek Koldov...
IDA
2009
Springer
15 years 6 months ago
Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation
This paper presents the theoretical background for the Model Based Underdetermined Source Separation presented in [5]. We show that for a given frequency band, in contrast to custo...
Dinh-Tuan Pham, Zaher El-Chami, Alexandre Gu&eacut...
EAAI
2006
157views more  EAAI 2006»
14 years 11 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...