Michael Auli
Former Principal Research Scientist/Director at Meta FAIR; last author of wav2vec 2.0, fairseq, and MMS
Michael Auli's homepage, last updated in April 2024, describes Auli as a Principal Research Scientist/Director at Meta's FAIR lab working on machine learning, speech processing, and natural language processing, with projects such as wav2vec, the fairseq toolkit, and convolutional sequence-to-sequence models; the 2025 Omnilingual ASR paper marks Auli's contribution as work conducted while at FAIR at Meta. Before Meta, Auli was at Microsoft Research, working on early neural machine translation and neural dialogue models. Auli is the last author of the wav2vec 2.0, data2vec, and fairseq papers and of Scaling Speech Technology to 1,000+ Languages, the Massively Multilingual Speech (MMS) project.1283457
Work
fairseq (external site: github.com)Open-source code
Last author of fairseq: A Fast, Extensible Toolkit for Sequence Modeling (2019); Auli's homepage lists the fairseq toolkit among the projects from this work, and the repository is published under the MIT license.516
wav2vec 2.0 (external site: arxiv.org)Published research
Last author of wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (2020), with Alexei Baevski as first author.31
Massively Multilingual Speech (MMS) (external site: arxiv.org)Published research
Last author of Scaling Speech Technology to 1,000+ Languages (2023), which describes pre-trained wav2vec 2.0 models covering 1,406 languages and a multilingual speech recognition model for 1,107 languages.71
Other documented roles
Roles the sources document but that are not confirmed as current.
- Principal Research Scientist/Director, Meta (FAIR)128
- Researcher working on early neural machine translation and neural dialogue models, Microsoft Research12
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