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 (https://guthman.gatech.edu/), 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, http://cantordigitalis.limsi.fr/)

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)