Marvin Lavechin

Meta AI, Ecole Normale Supérieure


Centre Sciences des Données

45 rue d'Ulm

75005, Paris, France

I am currently a postdoctoral researcher in the GIPSA laboratory (Grenoble, France) under the supervision of Thomas Hueber in the CRISSP team. Formerly, at Meta AI and the Cognitive Machine Learning and Language Acquisition Across Cultures teams of the LSCP.

My work is at the intersection of Artificial Intelligence and Cognitive Sciences. My research focuses on language acquisition modeling and speech processing applications to the study of language development in general.

Broad research questions include: How can we build machines that learn to produce and comprehend language? How can we better compare humans and machines in language-perceptual tasks? What makes infants so efficient at learning language?


Oct, 2023 [📝 PAPER] Brouhaha has been accepted to ASRU 2023!
Sep, 2023 [🎓 Ph.D. defense] Successfully defended my thesis on September, 2023! Yay!
May, 2023 [📝 PAPER] BabySLM has been accepted at Interspeech 2023!
Nov, 2022 [🇫🇷 SEMINAR] I’m participating to the GDR LIFT TAL seminar. See you in Marseille!
Sep, 2022 [🇩🇪 SEMINAR] I’m participating to the Developmental Machine Learning: From Human Learning to Machines and Back seminar. See you in Dagstuhl!

Selected publications

  1. BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
    Marvin Lavechin, Yaya Sy, Hadrien Titeux, and 5 more authors
    Interspeech 2023
  2. Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation
    Marvin Lavechin, Marianne Métais, Hadrien Titeux, and 7 more authors
    ASRU 2023
  3. Reverse engineering language acquisition with child-centered long-form recordings
    Marvin Lavechin, Maureen Seyssel, Lucas Gautheron, and 2 more authors
    Annual Review of Linguistics 2022
  4. An open-source voice type classifier for child-centered daylong recordings
    Marvin Lavechin, Ruben Bousbib, Hervé Bredin, and 2 more authors
    Interspeech 2020
  5. End-to-end domain-adversarial voice activity detection
    Marvin Lavechin, Marie-Philippe Gill, Ruben Bousbib, and 2 more authors
    Interspeech 2020