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
612017
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
402017
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
232019
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
192019
Low-latency multi-speaker speech recognition
M Delfarah, OA Abdelhamid, K Hwang, DR McAllaster, SM Siniscalchi
US Patent App. 16/534,902, 2020
102020
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
92020
Recurrent neural networks for cochannel speech separation in reverberant environments
M Delfarah, DL Wang
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
92018
A Feature Study for Masking-Based Reverberant Speech Separation.
M Delfarah, DL Wang
INTERSPEECH, 555-559, 2016
62016
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
42020
Talker-independent speaker separation in reverberant conditions
M Delfarah, Y Liu, DL Wang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
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
PQDT-UK & Ireland, 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), 3813-3813, 2017
12017
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
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
2021
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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