Loic Barrault
Research Scientist at Meta AI Research
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolLoic Barrault is a research scientist at Meta AI with 13 years of experience bridging speech recognition and statistical machine translation research. He earned a PhD focused on ASR feature analysis and system combination techniques inspired by information-theoretic notions of equivocation, and later extended those fusion ideas to machine translation, producing the open-source MANY system for MT combination. His academic career includes faculty and research roles in France and the UK, where he led work on frame-based posterior fusion and system ambiguity identification to improve robustness. Known for turning theoretical insights into practical toolchains, he combines deep signal-processing expertise with hands-on open-source development and collaborative research at scale.
13 years of coding experience
12 years of employment as a software developer
Computer Science, Computer Science at Avignon UniversitéPhD, Computer Science, PhD, Computer Science at Laboratoire Informatique d'Avignon
Github Skills (31)
neural-machine-translation10
bleu10
nmt9
asr9
ctc9
sequence9
sequence-to-sequence9
speech-recognition8
deep-learning8
conformer8
pytorch8
nlp7
translation7
natural-language-processing6
sentence-similarity5
Programming languages (6)
Github contributions (5)
loicbarrault/allies_llmt_beat
Apr 2020 - Jul 2021
Lifelong Learning Machine Translation with the BEAT platform
Contributions:41 commits, 33 pushes, 2 branches in 1 year 2 months
nlplifelong-learningmachine-translationtranslationmachine-learning
loicbarrault/MANY
Mar 2013 - Mar 2014
Contributions:7 commits in 1 year
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