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Maryam Najafian
Maryam Najafian
Research Scientist at MIT, PhD University of Birmingham
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
A transparent framework for evaluating unintended demographic bias in word embeddings
C Sweeny, M Najafian
Association for Computational Linguistics (ACL), 2020
762020
Advertising social semiotic representation: a critical approach
M Najafian, S Ketabi
International journal of industrial marketing 1 (1), 63, 2011
622011
Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems
M Najafian, S Safavi, P Weber, M Russell
ODYSSEY speaker and language recognition workshop, 132--139, 2015
552015
Reducing sentiment polarity for demographic attributes in word embeddings using adversarial learning
C Sweeny, M Najafian
ACM Conference on Fairness, Accountability, and Transparency (ACM FAT), 2021
462021
Exploiting Convolutional Neural Networks for Phonotactic Based Dialect Identification
M Najafian, S Khurana, S Shon, A Ali, J and Glass
ICASSP, 2019
452019
Speaker Recognition for Children's Speech.
S Safavi, M Najafian, A Hanani, MJ Russell, P Jancovic, MJ Carey
INTERSPEECH, 1836-1839, 2011
41*2011
Unsupervised model selection for recognition of regional accented speech.
M Najafian, A DeMarco, SJ Cox, MJ Russell
INTERSPEECH, 2967-2971, 2016
402016
The words behind images: A critical social semiotic approach toward analyzing advertising
M Najafian, S Ketabi
International Journal of Linguistics 3 (1), 1-21, 2011
382011
Automatic accent identification as an analytical tool for accent robust automatic speech recognition
M Najafian, MJ Russell
Speech Communication, 2020
302020
Exploring fairness in machine learning for international development
Y Awwad, R Fletcher, D Frey, A Gandhi, M Najafian, M Teodorescu
CITE MIT D-Lab, 2021
252021
Automatic Speech Recognition Of Arabic Multi-genre Broadcast Media
M Najafian, WN Hsu, A Ali, J Glass
ASRU, 2019
242019
Speaker independent diarization for child language environment analysis using Deep Neural Networks
M Najafian, JHL Hansen
Speech and Language Technology (SLT), 2017
232017
QMDIS: QCRI-MIT Advanced Dialect Identification System.
S Khurana, M Najafian, A Ali, T Al Hanai, Y Belinkov, JR Glass
Interspeech, 2591-2595, 2018
212018
Improving speech recognition using limited accent diverse British English training data with deep neural networks
M Najafian, S Safavi, JHL Hansen, M Russell
Machine Learning For Signal Processing (MLSP) 26, 2014
192014
Optimized extreme learning machine for urban land cover classification using hyperspectral imagery
H Su, S Tian, Y Cai, Y Sheng, C Chen, M Najafian
Frontiers of Earth Science (FESCI), 2017
152017
Acoustic model selection for recognition of regional accented speech
M Najafian
Ph. D. dissertation, University of Birmingham, 2016
152016
Comparison of Speaker Verification Performance for Adult and Child Speech
S Safavi, M Najafian, A Hanani, M Russell, P Jančovič
Workshop on Child, Computer and Interaction (WOCCI), 27--31, 2013
152013
Acoustic model selection using limited data for accent robust speech recognition
M Najafian, S Safavi, A Hanani, M Russell
2014 22nd European Signal Processing Conference (EUSIPCO), 1786-1790, 2016
142016
Speech and language processing for assessing child–adult interaction based on diarization and location
M Najafian, JHL Hansen, R Lileikyte, D Irvin, B Rous
International journal of speech technology 22, 697-709, 2020
12*2020
Energy-based global ternary image for action recognition using sole depth sequences
M Liu, H Liu, C Chen, M Najafian
3D Vision, 2017
122017
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Articles 1–20