I process speech signals to enhance their quality and intelligibility with applications to e.g. telecommunication systems, hearing aids and smart environment.
ABOUT MY WORK
Array processing methods for spatio-temporal enhancement and separation of speech signals.
Manifold learning and dimensionality reduction methods for speaker localization.
Bayesian inference methods for speaker separation.
Recursive and distributed estimate-maximize (EM) algorithms for speaker localization and separation and for speech de-reverberation.
Neural-networks based methods for speech enhancement and activity detection.
SELECTED PUBLICATIONS
B. Laufer-Goldshtein, R. Talmon and S. Gannot, “Semi-Supervised Source Localization on Multiple-Manifolds with Distributed Microphones,” | IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 7, Jul. 2017.
S. Gannot, E. Vincent, S. Markovich-Golan, and A. Ozerov, “A Consolidated Perspective on Multi-Microphone Speech Enhancement and Source Separation,” | IEEE/ACM Transactions on Audio, Speech, and Language Processing, (invited tutorial paper) | IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 4, pp. 692–730, Apr. 2017.
S. E. Chazan, J. Goldberger, and S. Gannot, “A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier,” | IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 24, No. 12, Dec. 2016.
D. Kounades-Bastian, L. Girin, X. Alameda-Pineda, S. Gannot, and R. Horaud, “A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures,” | IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 8, pp. 1408–1423, Aug. 2016.
B. Schwartz, S. Gannot, and E. A.P. Habets, “Online speech dereverberation using Kalman filter and EM algorithm,” | IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 23, no. 2, pp. 394-406, Feb. 2015.
RESEARCH PROJECTS
Speech enhancement for hearing aids.
Environment detection and classification.
Distributed microphone arrays for smart environments.