Knowledge for a sustainable world

BA Physics, MSc, PhD, PGCHE equivalent

Dr Lionel Feugère joined the University of Greenwich in March 2019. He studied Acoustics, Signal Processing and Computer Science at the University Paris Sud 11, IIT-Bombay and University Paris VI. He passed his Master thesis in 2009 in the industry, specializing in automatic detection and classification of syllables for Karaoke games, and his Ph. D. degree in 2013 about the gestural control of synthesized singing voice, under the supervision of Christophe d’Alessandro at LIMSI-CNRS.

He has worked with Boris Doval (Sorbonne University) on automatic categorization of various vocal productions from ethno-musicological audio recordings and with Christophe d’Alessandro and Olivier Perrotin (CNRS) on glottal flow models for singing voice synthesis. Then, he started to work on insect acoustic communication with Gabriella GIbson (NRI), investigating mosquito hearing with Olivier Roux (IRD) and the relationship between mosquito’s mating chase flight trajectory and acoustic behaviours with Rajat Mital (John Hopkins).

He has taught signal processing and computer science in several universities and institutions in France, participated in general public conferences and co-created the Chorus Digitalis, a musical ensemble to illustrate the capabilities of their research in singing synthesis and gestural control, which toured worldwide in scientific and musical venues between 2011 and 2016.

Previous positions:

  • 2017-2019 Research fellow in bioacoustics, Institut de Recherche pour le Développement (IRD)
  • 2015-2016 Research fellow in singing synthesis, LIMSI-CNRS
  • 2014-2015 Research fellow in automatic audio indexing, UPMC
  • 2013-2014 Lecturer in signal processing (postgraduate studies), Engineering department, UPMC
  • 2009-2013 Ph.D. student and lecturer (undergraduate), LIMSI-CNRS ; Univ. Paris-Est Créteil
  • 2009 Research student in automatic speech recognition, Voxler
  • 2008 Research student in audio information retrieval, LIMSI-CNRS
  • 2007 Research student in music information retrieval, University of Pompeu Fabra
  • 2006 Research student in mechanical engineering, ENSTA-ParisTech

Lionel Feugère’s research interests are the uses of computational audio techniques and interactive audio-visual systems 1) to study sound communication in insects, 2) to automatically retrieve information from audio recordings, and 3) to design new models of digital musical instrument.

Recently, Lionel aims to gather behavioural entomology and acoustics data to understand the complex sound production and auditory communication found in some animals and to use this knowledge to reduce the impact of pest insects responsible for major public health issues, particularly in economically under-privileged countries.

Since 2017, in a complementary collaboration with Professor of Medical Entomology Gabriella Gibson, Lionel is focusing on mosquitoes which are known both to have one of the most sensitive auditory organs among the invertebrates and to be vectors of serious diseases in humans and animals. They have worked with Olivier Roux from the Institut de Recherche pour le Dévelopement on the “ANOFEEL: How ANOpheles Females sEEk maLes?” project which aims to study visual, chemical and acoustic cues involved in mosquito communication. In 2019, Gabriella and Lionel were awarded a grant from the Human Frontier Science Program with Prof. Rajat Mital (PI) and Dr Jung-Hee Seo from John Hopkins University to decode the biomechanics of flight-tone based acoustic communication in mosquitoes.

Bioacoustics, insect behaviour, audio analysis, 3D audio-visual recording and reconstruction

  1. PDF Carnaghi, M., Mandelli, F., Feugère, L., Joiner, J., Young, S., Belmain, S.R., Hopkins, R.J., Hawkes, F.M. (2023), Visual and thermal stimuli modulate mosquito-host contact with implications for improving malaria vector control tools,
    iScience 27(1):108578
  2. PDF Feugère, L., Simões, P.M.V., Russell, I.J. and Gibson, G. (2022), The role of hearing in mosquito behaviour, Chapter 26. In: Ignell, R., Lazzari, C.R., Lorenzo, M.G. and Hill, S.R. (eds.) Sensory ecology of disease vectors.
    Wageningen Academic Publishers, the Netherlands, 683-708.
  3. PDF Feugère, L., Roux, O., Gibson, G. (2022), Behavioural analysis of swarming mosquitoes reveals high hearing sensitivity in Anopheles coluzzii,
    J. of Experimental Biology, 225(5):jeb243535.
  4. PDF Feugère, L., Gibson, G., Manoukis, N. C., Roux, O. (2021), Mosquito sound communication: are male swarms loud enough to attract females?
    J. R. Soc. Interface, 18:20210121. 20210121.

Digital musical instruments, gestural control, singing voice, audio synthesis, psychoacoustics

  1. PDF Perrotin, O., Feugère, L., d’Alessandro, C. (2021), Perceptual equivalence of the Liljencrants-Fant and linear-filter glottal flow models,
    J. Acoust. Soc. Am., 150:1273-1285.
  2. PDF Feugère, L., d’Alessandro, C., Doval, B., Perrotin, O. Cantor Digitalis: chironomic parametric synthesis of singing,
    EURASIP J. on Audio, Speech, and Music Processing, 2017:2.
  3. PDF Feugère, L., d’Alessandro, C., Delalez, S., Ardaillon, L., Roebel, A. (2016), Evaluation of singing synthesis: methodology and case study with concatenative and performative systems,
    Proc. Interspeech, 1245-1249.
  4. PDF Feugère, L., d’Alessandro, C. (2015), Contrôle gestuel de la synthèse vocale. Les instruments Cantor Digitalis et Digitartic (Gestural control of voice synthesis: the Cantor Digitalis and Digitartic instruments),
    Traitement du signal, 32(4):417-442.
  5. PDF d’Alessandro, C., Feugère, L., Le Beux, S., Perrotin, O., Rilliard, A. (2014), Drawing melodies : Evaluation of Chironomic Singing Synthesis,
    J. Acoust. Soc. Am., 135(6):3601-3612.
  6. PDF Goudard, V., Genevois, H., Feugère, L. (2014), On the playing of monodic pitch in digital music instrument,
    40th International Computer Music Conference (ICMC) joint with the 11th Sound & Music Computing conference (SMC), Athens, September 14-20, 1418-1425.

Computational musicology, vocal productions, audio analysis, machine learning

  1. PDF Amy de la Bretèque, A., Doval, B., Feugère, L. Moreau-Gaudry, L. (2017), Liminal Utterances and Shapes of Sadness: Local and Acoustic Perspectives on Vocal Production among the Yezidis of Armenia,
    Yearbook for Traditional Music, 49:128–148.
  2. PDF Feugère, L., Doval, B., Mifune, M.-F. (2015), Using pitch features for the characterization of intermediate vocal productions,
    5th International Workshop on Folk Music Analysis (FMA), Paris, June 10-12, 41-48.

2019 Three-year funding from the Human Frontier Science Program for Decoding the Biomechanics of Flight-Tone Based Acoustic Communication in Mosquitoes.

2015 First Prize of the Margaret Guthman Musical Instrument Competition.
One of the most prestigious International contest on new musical instruments (, awarded by Georgia Tech Center for Music Technology (Atlanta) for the digital musical instrument of gesture-control singing voice synthesizer “Cantor Digitalis” (with C. d’Alessandro, B. Doval and O. Perrotin,

2014 Finalists of the international competition on musical software (Lomus), awarded by the French society of computer music (AFIM) for the open-source digital musical instrument of gesture-control singing voice synthesizer “Cantor Digitalis”
(with C. d’Alessandro, B. Doval and O. Perrotin)

2012 Young researcher award “Science et Musique”, awarded by IRISA lab and the French society of computer music (AFIM)

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