Taufiq Hasan, PhD
Taufiq Hasan, PhD
Associate Professor, Biomedical Engineering, BUET
Verified email at - Homepage
Cited by
Cited by
Speaker recognition by machines and humans: A tutorial review
JHL Hansen, T Hasan
IEEE Signal processing magazine 32 (6), 74-99, 2015
Duration mismatch compensation for i-vector based speaker recognition systems
T Hasan, R Saeidi, JHL Hansen, DA Van Leeuwen
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
A study on universal background model training in speaker verification
T Hasan, JHL Hansen
IEEE Transactions on Audio, Speech, and Language Processing 19 (7), 1890-1899, 2011
I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification
R Saedi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ...
Interspeech, 2013
UTD-CRSS Systems for 2012 NIST Speaker Recognition Evaluation
T Hasan, G Liu, SO Sadjadi, N Shokouhi, JHL Hansen, KW Godin, ...
NIST SRE 2012 Workshop, 2012
Acoustic Factor Analysis for Robust Speaker Verification
T Hasan, JHL Hansen
IEEE Transactions on Audio, Speech and Language Processing, 2012
Suppression of Residual Noise From Speech Signals Using Empirical Mode Decomposition
T Hasan, MK Hasan
IEEE Signal Processing Letters 16 (1), 2, 2009
Mean Hilbert Envelope Coefficients (MHEC) for Robust Speaker Recognition
SO Sadjadi, T Hasan, JHL Hansen
Interspeech 2012, 2012
A lightweight CNN model for detecting respiratory diseases from lung auscultation sounds using EMD-CWT-based hybrid scalogram
SB Shuvo, SN Ali, SI Swapnil, T Hasan, MIH Bhuiyan
IEEE Journal of Biomedical and Health Informatics 25 (7), 2595-2603, 2020
An investigation on back-end for speaker recognition in multi-session enrollment
G Liu, T Hasan, H Boril, JHL Hansen
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Speaker verification in a health monitoring system
F Weng, T Hasan, Z Feng
WO Patent App. PCT/US2012/071,633, 2012
Maximum likelihood acoustic factor analysis models for robust speaker verification in noise
T Hasan, JHL Hansen
IEEE/ACM transactions on audio, speech, and language processing 22 (2), 381-391, 2013
Acoustic Scene Classification using a CNN-SuperVector system trained with Auditory and Spectrogram Image Features
R Hyder, S Ghaffarzadegan, Z Feng, JHL Hansen, T Hasan
Interspeech 2017, 2017
Towards domain invariant heart sound abnormality detection using learnable filterbanks
AI Humayun, S Ghaffarzadegan, MI Ansari, Z Feng, T Hasan
IEEE journal of biomedical and health informatics 24 (8), 2189-2198, 2020
End-to-end sleep staging with raw single channel EEG using deep residual convnets
AI Humayun, AS Sushmit, T Hasan, MIH Bhuiyan
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
Exploring Hilbert envelope based acoustic features in i-vector speaker verification using HT-PLDA
JW Suh, SO Sadjadi, G Liu, T Hasan, KW Godin, JHL Hansen
NIST SRE 2011 Workshop, 2011
Towards Smart-Cars That Can Listen: Abnormal Acoustic Event Detection on the Road
MK Nandwana, T Hasan
Interspeech 2016, 2968-2971, 2016
Learning front-end filter-bank parameters using convolutional neural networks for abnormal heart sound detection
AI Humayun, S Ghaffarzadegan, Z Feng, T Hasan
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
Glottal Waveform Analysis of Physical Task Stress Speech
KW Godin, T Hasan, JHL Hansen
Interspeech 2012, 2012
An ensemble of transfer, semi-supervised and supervised learning methods for pathological heart sound classification
AI Humayun, M Khan, S Ghaffarzadegan, Z Feng, T Hasan
arXiv preprint arXiv:1806.06506, 2018
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