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» Audio source separation by basis function adaptation
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ICA
2007
Springer
14 years 12 days ago
Phase-Aware Non-negative Spectrogram Factorization
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
R. Mitchell Parry, Irfan A. Essa
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
14 years 2 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
ICRA
2010
IEEE
178views Robotics» more  ICRA 2010»
13 years 7 months ago
Improvement in listening capability for humanoid robot HRP-2
— This paper describes improvement of sound source separation for a simultaneous automatic speech recognition (ASR) system of a humanoid robot. A recognition error in the system ...
Toru Takahashi, Kazuhiro Nakadai, Kazunori Komatan...
IJACTAICIT
2010
121views more  IJACTAICIT 2010»
13 years 3 months ago
Separation and Equalization of Cross-Coupled Signals by Adaptive Cancellation
This paper describes an adaptive noise cancellation structure suitable for the separation and equalization of signals that coupled due to the approximate placing of primary and au...
Manal Jamil Al-Kindi
IJON
2006
96views more  IJON 2006»
13 years 8 months ago
Quasi-optimal EASI algorithm based on the Score Function Difference (SFD)
Equivariant Adaptive Separation via Independence (EASI) is one of the most successful algorithms for Blind Source Separation (BSS). However, the user has to choose nonlinearities,...
Samareh Samadi, Massoud Babaie-Zadeh, Christian Ju...