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ICASSP
2011
IEEE
12 years 8 months ago
Online speech source separation based on maximum likelihood of local Gaussian modeling
We propose an online speech source separation method which can separate sources under underdetemined conditions. The proposed method is based on local Gaussian modeling (LGM). At ...
Masahito Togami
IDA
2009
Springer
13 years 11 months ago
Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling
Underdetermined source separation is often carried out by modeling time-frequency source coefficients via a fixed sparse prior. This approach fails when the number of active sourc...
Emmanuel Vincent, Simon Arberet, Rémi Gribo...
SPEECH
2011
12 years 11 months ago
Combining localization cues and source model constraints for binaural source separation
We describe a system for separating multiple sources from a two-channel recording based on interaural cues and prior knowledge of the statistics of the underlying source signals. ...
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Elli...
ESANN
2007
13 years 6 months ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville
ICASSP
2010
IEEE
13 years 5 months ago
HMM-based separation of acoustic transfer function for single-channel sound source localization
This paper presents a sound source (talker) localization method using only a single microphone, where a HMM (Hidden Markov Model) of clean speech is introduced to estimate the aco...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki