Oracle estimators for the benchmarking of source separation algorithms
Signal Processing
Monaural speech separation and recognition challenge
Computer Speech and Language
Blind source separation based on time-frequency sparseness in the presence of spatial aliasing
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Adaptive segmentation and separation of determined convolutive mixtures under dynamic conditions
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
The 2010 signal separation evaluation campaign (SiSEC2010): audio source separation
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Improved perceptual metrics for the evaluation of audio source separation
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Musical audio source separation based on user-selected f0 track
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
Semi-blind source separation based on ICA and overlapped speech detection
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Performance measurement in blind audio source separation
IEEE Transactions on Audio, Speech, and Language Processing
Subjective and Objective Quality Assessment of Audio Source Separation
IEEE Transactions on Audio, Speech, and Language Processing
Generalized State Coherence Transform for Multidimensional TDOA Estimation of Multiple Sources
IEEE Transactions on Audio, Speech, and Language Processing
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Structured Sparsity Models for Reverberant Speech Separation
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
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This paper summarizes the audio part of the 2011 community-based Signal Separation Evaluation Campaign (SiSEC2011). Four speech and music datasets were contributed, including datasets recorded in noisy or dynamic environments and a subset of the SiSEC2010 datasets. The participants addressed one or more tasks out of four source separation tasks, and the results for each task were evaluated using different objective performance criteria. We provide an overview of the audio datasets, tasks and criteria. We also report the results achieved with the submitted systems, and discuss organization strategies for future campaigns.