Publications

Ludusan, B., Morii, M., Minagawa, Y. & Dupoux, E. (2021). The effect of different information sources on prosodic boundary perception. JASA Express Letters , 1(115203 ). doi:10.1121/10.0007150

Ludusan, B., Cristia, A., Mazuka, R. & Dupoux, E. (2022). How much does prosody help word segmentation? A simulation study on infant-directed speech. Cognition, 219(104961). doi:10.1016/j.cognition.2021.104961

Attia, S., King, A., Varnet, L., Ponsot, E. & Lorenzi, C. (2022). Erratum: Double-pass consistency for amplitude- and frequency-modulation detection in normal-hearing listeners [J. Acoust. Soc. Am. 150, 3631–3647 (2021)] The Journal of the Acoustical Society of America, 151, 1180. doi:10.1121/10.0009583

Sensorimotor Learning of Sound Localization from an Auditory Evoked Behavior

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation: a versatile tool for multichannel data analysis. NeuroImage, 98(487-505). doi:10.1016/j.neuroimage.2014.05.068

Christianson, G., Chait, M., de Cheveigné, A. & Linden, J. (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. J. Neurophysiol., 112, 3053-3065. doi:10.1152/jn.00189.2014

Pressnitzer, D., Patterson, R. & Krumbholz, K. (2001). The lower limit of melodic pitch. Journal of the Acoustical Society of America, 109. doi:10.1121/1.1359797

Pressnitzer, D., Mcadams, S., Winsberg, S. & Fineberg, J. (2000). Perception of musical tension for nontonal orchestral timbres and its relation to psychoacoustic roughness. . doi:10.3758/bf03212061

Marozeau, J. & de Cheveigné, A. (2007). The effect of fundamental frequency on the brightness dimension of timbre. Journal of the Acoustical Society of America, 121(1), 383-387. doi:10.1121/1.2384910

Le Roux, J., Kameoka, H., Ono, N., de Cheveigné, A. & Sagayama, S. (2007). Single and multiple F-0 contour estimation through parametric spectrogram Modeling of speech in noisy environments. Ieee Transactions on Audio Speech and Language Processing, 15(4), 1135-1145. doi:10.1109/TASL.2007.894510

Leman, M., Avanzini, F., de Cheveigné, A. & Bigand, E. (2007). The societal contexts for sound and music computing: Research, education, industry, and socio-culture. Journal of New Music Research, 36(3), 149-167. doi:10.1080/09298210701859164

Landemard, A., Bimbard, C., Demene, C. , Shamma, S., Norman-Haignere, S. & Boubenec, Y. (2021). Distinct higher-order representations of natural sounds in human and ferret auditory cortex. eLife, 10 , e65566. doi:10.7554/eLife.65566

Lorenzi, C. (2023). Human auditory ecology: Extending hearing research to the perception of natural soundscapes by humans. J. Acoust. Soc. Am., 154(A70 ). doi:10.1121/10.0022829

Gwilliams, L., Flick, G., Marantz, A. , Pylkkänen, L., Poeppel, D. & King, J. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific data, 10(1), 862. doi:10.1038/s41597-023-02752-5

Lorenzi, C., Apoux, F., Grinfeder, E., Krause, B. , Miller-Viacava, N. & Sueur, J. (2023). Human Auditory Ecology: Extending Hearing Research to the Perception of Natural Soundscapes by Humans in Rapidly Changing Environments. Trends in hearing, . doi:10.1177/23312165231212032

K Chillale, R., Shamma, S., Ostojic, S. & Boubenec, Y. (2023). Dynamics and maintenance of categorical responses in primary auditory cortex during task engagement. eLife, 12(e85706). doi:10.7554/eLife.85706

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2024). Sleep deprivation detected by voice analysis. PLoS computational biology, 20(2), e1011849. doi:10.1371/journal.pcbi.1011849

Desbordes, T., King, J. & Dehaene, S. (2024). Tracking the neural codes for words and phrases during semantic composition, working-memory storage, and retrieval. Cell reports, 43(3), 113847. doi:10.1016/j.celrep.2024.113847

de Seyssel, M., Wisniewski, G., Dupoux, E. & Ludusan, B. (2022). Investigating the usefulness of i-vectors for automatic language characterization. In Speech Prosody 2022, Lisbon, Portugal. doi:10.21437/SpeechProsody.2022-94

Dunbar, E., Bernard, M., Hamilakis, N., Nguyen, T. , de Seyssel, M., Rozé, P., Rivière, M., Kharitonov, E. & Dupoux, E. (2021). The Zero Resource Speech Challenge 2021: Spoken language modelling. In Conference of the International Speech Communication Association, Brno, Czech Republic. doi:10.1109/TPAMI.2021.3083839

de Seyssel, M., Lavechin, M. & Dupoux, E. (2023). Realistic and broad-scope learning simulations: first results and challenges. Journal of child language, ., 1-24. doi:10.1017/S0305000923000272

Lavechin, M., de Seyssel, M., Metais, M., Metze, F., Mohamed, A., Bredin, H., Dupoux, E. & Cristia, A. (2024). Modeling early phonetic acquisition from child-centered audio data. Cognition, 245, 105734. doi:10.1016/j.cognition.2024.105734