Vincent Lostanlen watercolor portrait
New York, May 2019. Watercolor by Mathias Le Borgne

[ vẽsã lostãlεn ]

I am a scientist (chargé de recherche) at CNRS, the French national center for scientific research. I belong to a research unit named LS2N, which stands for “Nantes Laboratory of Digital Sciences”. My office is located on the campus of the “Centrale Nantes” engineering school.

The main goal of my research is to build an artificial intelligence of sounds. I aim to further the understanding, the integration, and the democratization of machine listening systems. I also strive to expand the scope of audio content analysis beyond the use case of speech recognition; thus encompassing music, animal sounds, and urban noise.

Our auditory system is highly complex, which calls for the development of scientific protocols at various levels of abstraction: from closed-form physical models of sound synthesis to qualitative studies of musical interactions involving both humans and machines. At an intermediate level, i give a pivotal role to convolutional operators in the time–frequency domain, such as scattering transforms and deep convolutional networks.

Academic Positions

  • Present2020

    CNRS

    Scientist

  • 20202017

    Cornell Lab of Ornithology

    Postdoctoral associate

  • 20202017

    New York University

    Visiting scholar

  • 20172013

    École normale supérieure

    PhD student

  • 20132013

    Inria

    Research intern

Education

Distinctions

  • Young researcher award 2019

    French computer music association (AFIM)

    Prix jeune chercheur ``Science et musique``

  • Best poster award 2016

    French acoustical society (SFA)

    Journée des jeunes chercheurs en acoustique, audio, et signal (JJCAAS). For: “Wavelets on the pitch spiral”

  • Best paper award 2015

    IEEE Machine Learning for Signal Processing (MLSP)

    For: “Joint Time–frequency Scattering for Audio Classification”