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TNN
2008
128views more  TNN 2008»
13 years 7 months ago
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...
Petr Tichavský, Zbynek Koldovský, Ar...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
14 years 1 months ago
Eigenvector Algorithms for Blind Deconvolution of MIMO-IIR Systems
— This paper presents eigenvector algorithms (EVAs) for blind deconvolution (BD) of multiple-input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mix...
Mitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye
ICASSP
2008
IEEE
14 years 2 months ago
Blind source separation in a distributed microphone meeting environment for improved teleconferencing
From an audio perspective, the present state of teleconferencing technology leaves something to be desired; speaker overlap is one of the causes of this inadequate performance. To...
Jacek P. Dmochowski, Zicheng Liu, Philip A. Chou
NIPS
2004
13 years 9 months ago
Blind One-microphone Speech Separation: A Spectral Learning Approach
We present an algorithm to perform blind, one-microphone speech separation. Our algorithm separates mixtures of speech without modeling individual speakers. Instead, we formulate ...
Francis R. Bach, Michael I. Jordan
ICA
2004
Springer
14 years 1 months ago
Nonlinear Postprocessing for Blind Speech Separation
Abstract. Frequency domain ICA has been used successfully to separate the utterances of interfering speakers in convolutive environments, see e.g. [6],[7]. Improved separation resu...
Dorothea Kolossa, Reinhold Orglmeister