EURASIP Journal on Applied Signal Processing
A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Speech separation using speaker-adapted eigenvoice speech models
Computer Speech and Language
Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation
IEEE Transactions on Audio, Speech, and Language Processing
First stereo audio source separation evaluation campaign: data, algorithms and results
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Blind separation of speech mixtures via time-frequency masking
IEEE Transactions on Signal Processing
IEEE Transactions on Audio, Speech, and Language Processing
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
A general framework for online audio source separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
A GMM sound source model for blind speech separation in under-determined conditions
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Robust speech recognition based on binaural speech enhancement system as a preprocessing step
Proceedings of the Third Symposium on Information and Communication Technology
Tracking of multidimensional TDOA for multiple sources with distributed microphone pairs
Computer Speech and Language
Bayesian Nonparametrics for Microphone Array Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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This paper addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a zero-mean Gaussian random variable whose covariance encodes the spatial characteristics of the source. We then consider four specific covariance models, including a full-rank unconstrained model. We derive a family of iterative expectation-maximization (EM) algorithms to estimate the parameters of each model and propose suitable procedures adapted from the state-of-the-art to initialize the parameters and to align the order of the estimated sources across all frequency bins. Experimental results over reverberant synthetic mixtures and live recordings of speech data show the effectiveness of the proposed approach.