| Speech dereverberation using fully convolutional networks O Ernst, SE Chazan, S Gannot, J Goldberger 2018 26th European Signal Processing Conference (EUSIPCO), 390-394, 2018 | 114 | 2018 |
| Deep clustering based on a mixture of autoencoders SE Chazan, S Gannot, J Goldberger 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 52 | 2019 |
| Multi-microphone speaker separation based on deep DOA estimation SE Chazan, H Hammer, G Hazan, J Goldberger, S Gannot 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 50 | 2019 |
| K-autoencoders deep clustering Y Opochinsky, SE Chazan, S Gannot, J Goldberger ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 35 | 2020 |
| Single channel voice separation for unknown number of speakers under reverberant and noisy settings SE Chazan, L Wolf, E Nachmani, Y Adi ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 29 | 2021 |
| Dynamically localizing multiple speakers based on the time-frequency domain H Hammer, SE Chazan, J Goldberger, S Gannot EURASIP Journal on Audio, Speech, and Music Processing 2021 (1), 16, 2021 | 27 | 2021 |
| A hybrid approach for speech enhancement using MoG model and neural network phoneme classifier SE Chazan, J Goldberger, S Gannot IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (12 …, 2016 | 27 | 2016 |
| A phoneme-based pre-training approach for deep neural network with application to speech enhancement SE Chazan, S Gannot, J Goldberger 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2016 | 27 | 2016 |
| Deep recurrent mixture of experts for speech enhancement SE Chazan, J Goldberger, S Gannot 2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017 | 19 | 2017 |
| Speech enhancement using a deep mixture of experts SE Chazan, J Goldberger, S Gannot arXiv preprint arXiv:1703.09302, 2017 | 18 | 2017 |
| DNN-based concurrent speakers detector and its application to speaker extraction with LCMV beamforming SE Chazan, J Goldberger, S Gannot 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 12 | 2018 |
| Attention-based neural network for joint diarization and speaker extraction SE Chazan, S Gannot, J Goldberger 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018 | 10 | 2018 |
| CNN self-attention voice activity detector A Sofer, SE Chazan arXiv preprint arXiv:2203.02944, 2022 | 7 | 2022 |
| Speech enhancement with mixture of deep experts with clean clustering pre-training SE Chazan, J Goldberger, S Gannot ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Speaker extraction using LCMV beamformer with DNN-based SPP and RTF identification scheme A Malek, SE Chazan, I Malka, V Tourbabin, J Goldberger, ... 2017 25th European Signal Processing Conference (EUSIPCO), 2274-2278, 2017 | 5 | 2017 |
| FCN approach for dynamically locating multiple speakers H Hammer, SE Chazan, J Goldberger, S Gannot arXiv preprint arXiv:2008.11845, 2020 | 4 | 2020 |
| Training strategies for deep latent models and applications to speech presence probability estimation SE Chazan, S Gannot, J Goldberger Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 4 | 2018 |
| Domain adaptation for speech enhancement in a large domain gap L Frenkel, J Goldberger, SE Chazan Proc. Interspeech, 2458-2462, 2023 | 3 | 2023 |
| LCMV beamformer with DNN-based multichannel concurrent speakers detector SE Chazan, J Goldberger, S Gannot 2018 26th European Signal Processing Conference (EUSIPCO), 1562-1566, 2018 | 3 | 2018 |
| Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation L Frenkel, SE Chazan, J Goldberger IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 2 | 2024 |
Sharon GannotProf. of Data Engineering, Bar-Ilan University, IsraelVerified email at biu.ac.il
