Rehan Ahmad
Rehan Ahmad
Researchers, VoiceBase
I am a research associate in VoiceBaseteam of SpandH group at the university of Sheffield. I am working on semi-supervised learning for automatic speech recognition. My PhD dissertation was based on a multi-modal speaker diarization using an audio-visual synchronization model for active speaker detection. My interests are in speech signal processing, machine learning and computer vision. Before joining this group I served in many universities of Pakistan for teaching and research.
Publications
2023 |
| : Towards Domain Generalisation in ASR with Elitist Sampling and Ensemble Knowledge Distillation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023, IEEE, 2023. |
2022 |
| : Unsupervised Data Selection for Speech Recognition with Contrastive Loss Ratios. In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8587-8591, 2022. |
