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ICA
2010
Springer
13 years 6 months ago
Non-negative Hidden Markov Modeling of Audio with Application to Source Separation
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
Gautham J. Mysore, Paris Smaragdis, Bhiksha Raj
ICA
2007
Springer
13 years 11 months ago
Two Improved Sparse Decomposition Methods for Blind Source Separation
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
B. Vikrham Gowreesunker, Ahmed H. Tewfik
IJON
2008
158views more  IJON 2008»
13 years 4 months ago
An adaptive stereo basis method for convolutive blind audio source separation
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
Maria G. Jafari, Emmanuel Vincent, Samer A. Abdall...
TASLP
2010
142views more  TASLP 2010»
12 years 11 months ago
Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation
We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...
M. Kowalski, Emmanuel Vincent, Rémi Gribonv...
ISCAS
2005
IEEE
149views Hardware» more  ISCAS 2005»
13 years 10 months ago
Audio source separation by source localization with Hilbert spectrum
—This paper presents a technique to separate the audio signals from their binaural mixtures based on localizing the sources in the space of interaural differences. Two interaural...
M. Khademul Islam Molla, Keikichi Hirose, Nobuaki ...