The second ‘CHiME’speech separation and recognition challenge: Datasets, tasks and baselines E Vincent, J Barker, S Watanabe, J Le Roux, F Nesta, M Matassoni 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 271 | 2013 |
The 2011 signal separation evaluation campaign (SiSEC2011):-audio source separation S Araki, F Nesta, E Vincent, Z Koldovskı, G Nolte, A Ziehe, A Benichoux Latent Variable Analysis and Signal Separation: 10th International …, 2012 | 193 | 2012 |
The second ‘CHiME’speech separation and recognition challenge: An overview of challenge systems and outcomes E Vincent, J Barker, S Watanabe, J Le Roux, F Nesta, M Matassoni 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 162-167, 2013 | 105 | 2013 |
Convolutive BSS of short mixtures by ICA recursively regularized across frequencies F Nesta, P Svaizer, M Omologo IEEE transactions on audio, speech, and language processing 19 (3), 624-639, 2010 | 104 | 2010 |
Binary and multi-class classification systems and methods using connectionist temporal classification SM Kaskari, T Thormundsson, F Nesta US Patent 10,762,891, 2020 | 89 | 2020 |
Generalized state coherence transform for multidimensional TDOA estimation of multiple sources F Nesta, M Omologo IEEE Transactions on Audio, Speech, and Language Processing 20 (1), 246-260, 2011 | 87 | 2011 |
Batch-online semi-blind source separation applied to multi-channel acoustic echo cancellation F Nesta, TS Wada, BH Juang IEEE transactions on audio, speech, and language processing 19 (3), 583-599, 2010 | 48 | 2010 |
Convolutive underdetermined source separation through weighted interleaved ICA and spatio-temporal source correlation F Nesta, M Omologo International Conference on Latent Variable Analysis and Signal Separation …, 2012 | 41 | 2012 |
Semi-supervised system for multichannel source enhancement through configurable unsupervised adaptive transformations and supervised deep neural network F Nesta, X Zhao, T Thormundsson US Patent 10,347,271, 2019 | 35 | 2019 |
A novel robust solution to the permutation problem based on a joint multiple TDOA estimation F Nesta, M Omologo, P Svaizer Proc. IWAENC, 2008 | 35 | 2008 |
Tracking of multidimensional TDOA for multiple sources with distributed microphone pairs A Brutti, F Nesta Computer Speech & Language 27 (3), 660-682, 2013 | 32 | 2013 |
Semi-blind noise extraction using partially known position of the target source Z Koldovskı, P Tichavskı, F Nesta IEEE Transactions on Audio, Speech, and Language Processing 21 (10), 2029-2041, 2013 | 30 | 2013 |
Cumulative state coherence transform for a robust two-channel multiple source localization F Nesta, P Svaizer, M Omologo Independent Component Analysis and Signal Separation: 8th International …, 2009 | 29 | 2009 |
A flexible spatial blind source extraction framework for robust speech recognition in noisy environments F Nesta, M Matassoni, RF Astudillo Proc. CHiME, 33-40, 2013 | 27 | 2013 |
Cooperative Wiener-ICA for source localization and separation by distributed microphone arrays F Nesta, M Omologo 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 27 | 2010 |
Supervised independent vector analysis through pilot dependent components F Nesta, Z Koldovskı 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 26 | 2017 |
Blind source extraction for robust speech recognition in multisource noisy environments F Nesta, M Matassoni Computer Speech & Language 27 (3), 703-725, 2013 | 26 | 2013 |
Robust Automatic Speech Recognition through On-line Semi Blind Signal Extraction F Nesta, M Matassoni Proc. 1st Int. Workshop on Machine Listening in Multisource Environments (CHiME), 2011 | 25 | 2011 |
A 760-nW, 180-nm CMOS fully analog voice activity detection system for domestic environment M Croce, B Friend, F Nesta, L Crespi, P Malcovati, A Baschirotto IEEE Journal of Solid-State Circuits 56 (3), 778-787, 2020 | 24 | 2020 |
Multiple TDOA estimation by using a state coherence transform for solving the permutation problem in frequency-domain BSS F Nesta, M Omologo, P Svaizer 2008 IEEE Workshop on Machine Learning for Signal Processing, 43-48, 2008 | 22 | 2008 |