Abdelrahman Mohamed
Speech researcher; co-author of wav2vec 2.0 and HuBERT at Facebook AI Research
Abdelrahman Mohamed's homepage describes joining Facebook AI Research (FAIR) as a research scientist in September 2018, after work as a principal scientist manager on Amazon's Alexa AI team and, from 2014 to 2017, as a researcher at Microsoft Research. Mohamed's research spans deep learning, spoken language processing, and natural language understanding. At Facebook AI, Mohamed co-authored wav2vec 2.0, a framework for self-supervised learning of speech representations, and is the last author of HuBERT, a self-supervised speech representation model.1234
Work
wav2vec 2.0 (external site: arxiv.org)Published research
Co-author, with Alexei Baevski, Henry Zhou, and Michael Auli, of wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (2020); the paper lists the authors at Facebook AI.23
HuBERT (external site: arxiv.org)Published research
Last author of HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units (2021), with Wei-Ning Hsu as first author.4
Other documented roles
Roles the sources document but that are not confirmed as current.
- Research scientist at FAIR (joined September 2018), Facebook AI Research (Meta)13
- Principal scientist manager, Alexa AI team, Amazon (Alexa AI)1
- Researcher (2014–2017), Microsoft Research1
This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.