| End-to-End Neural Network Based Automated Speech Scoring L Chen, J Tao, S Ghaffarzadegan, Y Qia IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 96 | 2018 |
| 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 | 83 | 2020 |
| Exploring deep learning architectures for automatically grading non-native spontaneous speech J Tao, S Ghaffarzadegan, L Chen, K Zechner 2016 IEEE International conference on acoustics, speech and signal …, 2016 | 60 | 2016 |
| 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, 3073-3077, 2017 | 45 | 2017 |
| UT-VOCAL EFFORT II: Analysis and constrained-lexicon recognition of whispered speech S Ghaffarzadegan, H Bořil, JHL Hansen 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 43 | 2014 |
| Generative modeling of pseudo-whisper for robust whispered speech recognition S Ghaffarzadegan, H Bořil, JHL Hansen IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (10 …, 2016 | 40 | 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 | 39 | 2018 |
| An ensemble of transfer, semi-supervised and supervised learning methods for pathological heart sound classification AI Humayun, MT Khan, S Ghaffarzadegan, Z Feng, T Hasan arXiv preprint arXiv:1806.06506, 2018 | 32 | 2018 |
| An ontology-aware framework for audio event classification Y Sun, S Ghaffarzadegan ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 28 | 2020 |
| Model and feature based compensation for whispered speech recognition S Ghaffarzadegan, H Bořil, JHL Hansen Fifteenth Annual Conference of the International Speech Communication …, 2014 | 25 | 2014 |
| Deep neural network training for whispered speech recognition using small databases and generative model sampling S Ghaffarzadegan, H Bořil, JHL Hansen International Journal of Speech Technology 20, 1063-1075, 2017 | 23 | 2017 |
| Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation O Hazrati, S Ghaffarzadegan, JHL Hansen 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 22 | 2015 |
| Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition S Ghaffarzadegan, H Boşil, JHL Hansen 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 20 | 2015 |
| Method and system for detecting abnormal heart sounds S Ghaffarzadegan, Z Feng, AI Humayun, T Hasan US Patent App. 16/033,296, 2019 | 15 | 2019 |
| BUET bosch consortium (B2C) acoustic scene classification systems for DCASE 2017 R Hyder, S Ghaffarzadegan, Z Feng, T Hasan IEEE AASP Challenge on DCASE 2017 technical reports, 2017 | 14 | 2017 |
| Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? S Damiano, L Bondi, S Ghaffarzadegan, A Guntoro, T van Waterschoot ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 13 | 2024 |
| Crowdsourced continuous improvement of medical speech recognition W Salloum, E Edwards, S Ghaffarzadegan, D Suendermann-Oeft, M Miller Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 13 | 2017 |
| Self-supervised attention model for weakly labeled audio event classification B Kim, S Ghaffarzadegan 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 9 | 2019 |
| Unsupervised discriminative learning of sounds for audio event classification S Hornauer, K Li, XY Stella, S Ghaffarzadegan, L Ren ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
| End-to-end neural network based automated speech scoring D Suendermann-Oeft, L Chen, J Tao, S Ghaffarzadegan, Y Qian US Patent 10,937,444, 2021 | 8 | 2021 |
Taufiq Hasan, PhDProfessor, Biomedical Engineering, BUETAdresse e-mail validée de bme.buet.ac.bd