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ISNN
2007
Springer
14 years 1 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
ICASSP
2008
IEEE
14 years 1 months ago
Oracle estimation of adaptive cosine packet transforms for underdetermined audio source separation
We address the problem of instantaneous, underdetermined audio source separation by time-frequency masking. Using oracle estimators, we determine experimental upper performance bo...
Andrew Nesbit, Mark D. Plumbley
ICASSP
2008
IEEE
14 years 1 months ago
Single-channel speech separation based on modulation frequency
This paper describes an algorithm that performs a simple form of computational auditory scene analysis to separate multiple speech signals from one another on the basis of the mod...
Lingyun Gu, Richard M. Stern
ICASSP
2011
IEEE
12 years 11 months ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...
ICASSP
2011
IEEE
12 years 11 months ago
Degenerate Unmixing Estimation Technique using the Constant Q Transform
The Degenerate Unmixing Estimation Technique (DUET) is a Blind Source Separation (BSS) algorithm for stereo audio. DUET depends on an amplitude-phase 2d histogram built from the d...
Zafar Rafii, Bryan Pardo