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Masood Delfarah
Masood Delfarah
ASR Machine Learning Engineer, Siri @ Apple
Verified email at apple.com
Title
Cited by
Cited by
Year
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
832017
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
562017
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
452019
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
262020
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
222019
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
132020
Recurrent neural networks for cochannel speech separation in reverberant environments
M Delfarah, DL Wang
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
122018
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
82021
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
72021
A Feature Study for Masking-Based Reverberant Speech Separation.
M Delfarah, DL Wang
INTERSPEECH, 555-559, 2016
62016
Talker-independent speaker separation in reverberant conditions
M Delfarah, Y Liu, DL Wang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
52020
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
22020
Deep learning methods for speaker separation in reverberant conditions
M Delfarah
The Ohio State University, 2019
12019
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
12017
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
Multichannel Voice Trigger Detection Based on Transform-average-concatenate
T Higuchi, A Brueggeman, M Delfarah, S Shum
arXiv preprint arXiv:2309.16036, 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
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