Features for Masking-Based Monaural Speech Separation in Reverberant Conditions M Delfarah, DL Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 1085 …, 2017 | 86 | 2017 |
An algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker EW Healy, M Delfarah, JL Vasko, BL Carter, DL Wang The Journal of the Acoustical Society of America 141 (6), 4230-4239, 2017 | 58 | 2017 |
A deep learning algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker and reverberation EW Healy, M Delfarah, EM Johnson, DL Wang The Journal of the Acoustical Society of America 145 (3), 1378-1388, 2019 | 47 | 2019 |
Deep CASA for talker-independent monaural speech separation Y Liu, M Delfarah, DL Wang ICASSP 2020-2020 IEEE International conference on acoustics, speech and …, 2020 | 28 | 2020 |
Deep learning for talker-dependent reverberant speaker separation: An empirical study M Delfarah, DL Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (11 …, 2019 | 22 | 2019 |
A talker-independent deep learning algorithm to increase intelligibility for hearing-impaired listeners in reverberant competing talker conditions EW Healy, EM Johnson, M Delfarah, DL Wang The Journal of the Acoustical Society of America 147 (6), 4106-4118, 2020 | 13 | 2020 |
Recurrent neural networks for cochannel speech separation in reverberant environments M Delfarah, DL Wang 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 12 | 2018 |
Deep learning based speaker separation and dereverberation can generalize across different languages to improve intelligibility EW Healy, EM Johnson, M Delfarah, DS Krishnagiri, VA Sevich, ... The Journal of the Acoustical Society of America 150 (4), 2526-2538, 2021 | 10 | 2021 |
Dynamic curriculum learning via data parameters for noise robust keyword spotting T Higuchi, S Saxena, M Souden, TD Tran, M Delfarah, C Dhir ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
A Feature Study for Masking-Based Reverberant Speech Separation. M Delfarah, DL Wang INTERSPEECH, 555-559, 2016 | 6 | 2016 |
Talker-independent speaker separation in reverberant conditions M Delfarah, Y Liu, DL Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
A two-stage deep learning algorithm for talker-independent speaker separation in reverberant conditions M Delfarah, Y Liu, DL Wang The Journal of the Acoustical Society of America 148 (3), 1157-1168, 2020 | 2 | 2020 |
Deep learning methods for speaker separation in reverberant conditions M Delfarah The Ohio State University, 2019 | 1 | 2019 |
Can a trained deep neural network be implemented into hearing technology? E Healy, M Delfarah, J Vasko, B Carter, DL Wang The Journal of the Acoustical Society of America 141 (5_Supplement), 3813-3813, 2017 | 1 | 2017 |
Multichannel Voice Trigger Detection Based on Transform-Average-Concatenate T Higuchi, A Brueggeman, M Delfarah, S Shum 2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024 | | 2024 |
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study A Brueggeman, T Higuchi, M Delfarah, S Shum, V Garg arXiv preprint arXiv:2309.16060, 2023 | | 2023 |
Low-latency multi-speaker speech recognition M Delfarah, OA Abdelhamid, K Hwang, DR McAllaster, SM Siniscalchi US Patent 11,475,898, 2022 | | 2022 |
Proposing a Unified Knowledge and Experience-based System using Information Fusion Approach to Facilitate the Disaster Management Process MS Mirian, M Delfarah, B Moshiri Disaster Management Knowledge Quarterly 1 (2), 215-227, 2012 | | 2012 |