Publications

Sensorimotor Learning of Sound Localization from an Auditory Evoked Behavior

Wong, D., Di Liberto, G. & de Cheveigné, A. (2019). Accurate Modeling of Brain Responses to Speech. bioRxiv. doi:10.1101/509307

Shamma, S. (2020). Temporal Coherence Principle in Scene Analysis. The Senses: A Comprehensive Reference (Second Edition) (Vol. 2, pp. 777-790).Elsevier. doi:10.1016/B978-0-12-809324-5.24252-1

Pressnitzer, D., Agus, T., Kang, H. , Graves, J. & Andrillon, T. (2021). Apprentissage de motifs sonores. In S. Samson, B. Tillmann, C. Jourdan, V. Brun (Eds.), Audition et Cognition Montpellier: Sauramps Medical

Berthommier, F. & Lorenzi, C. (2021). Implications of Physiological Mechanisms of Amplitude Modulation Processing for Modeling Complex Sounds Analysis and Separation. (pp. 12). doi:10.1201/9781003064183

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2020). Sleep deprivation impacts speech spectro-temporal modulations. In e-FA2020 (e- Forum Acusticum 2020 ), Lyon, France.

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Caucheteux, C. , Gramfort, A. & King, J. (2021). Disentangling syntax and semantics in the brain with deep networks. , Vol. 139: In International Conference on Machine Learning, PMLR, 1336-1348.

Osses , A. & Varnet, L. (2023). Using auditory models to mimic human listeners in reverse correlation experiments from the fastACI toolbox. In , Turin, Italy.

Graves, J., Egré, P., Pressnitzer, D. & de Gardelle, V. (2021). An implicit representation of stimulus ambiguity in pupil size. , Vol. 18: In Proceedings of the National Academy of Sciences, e2107997118. doi:10.1073/pnas.2107997118

Parikh, R. , Kavalerov, I. , Espy-Wilson, C. & Shamma, S. (2022). Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 536-540. doi:10.1109/ICASSP43922.2022.9747314

M Siriwardena, Y., Marion, G. & Shamma, S. (2022). The Mirrornet: Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 946-950. doi:10.1109/ICASSP43922.2022.9747358

Pressnitzer, D. & Mcadams, S. (1999). Two phase effects in roughness perception. Journal of the Acoustical Society of America, 105(5), 2773-2782. doi:10.1121/1.426894

Pressnitzer, D., Winter, I. & Patterson, R. (2000). The responses of single units in the ventral cochlear nucleus of the guinea pig to damped and ramped sinusoids. Hearing Research, 149, 155-166. doi:10.1016/S0378-5955(00)00175-1

Pressnitzer, D., Patterson, R. & Krumbholz, K. (2001). The lower limit of melodic pitch. Journal of the Acoustical Society of America, 109, 2074-2084. doi:10.1121/1.1359797

Widmer, G., Rocchesso, D., Välimäki, V., Erkut, C., Gouyon, F., Pressnitzer, D., Penttinen, H., Polotti, P. & Volpe, G. (2007). Sound and music computing: Research trends and some key issues. Journal of New Music Research, 36(3), 169-184. doi:10.1080/09298210701859222

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

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

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

Ardoint, M., Lorenzi, C., Pressnitzer, D. & Gorea, A. (2008). Investigation of perceptual constancy in the temporal-envelope domain. The Journal of the Acoustical Society of America, 123(3), 1591-601. doi:10.1121/1.2836782

Maier, J., Mcalpine, D., Klump, G. & Pressnitzer, D. (2010). Context effects in the discriminability of spatial cues. Journal of the Association for Research in Otolaryngology : JARO, 11(2), 319-28. doi:10.1007/s10162-009-0200-0

Gnansia, D., Pressnitzer, D., Péan, V., Meyer, B. & Lorenzi, C. (2010). Intelligibility of interrupted and interleaved speech for normal-hearing listeners and cochlear implantees. Hearing research, 265(1-2), 46-53. doi:10.1016/j.heares.2010.02.012

Cousineau, M., Demany, L. & Pressnitzer, D. (2010). The role of peripheral resolvability in pitch-sequence processing. The Journal of the Acoustical Society of America, 128(5), EL236-41. doi:10.1121/1.3499701

Patil, K., Pressnitzer, D., Shamma, S. & Elhilali, M. (2012). Music in our ears: the biological bases of musical timbre perception. PLoS computational biology, 8(11), e1002759. doi:10.1371/journal.pcbi.1002759

Joly, O., Pallier, C., Ramus, F., Pressnitzer, D., Vanduffel, W. & Orban, G. (2012). Processing of vocalizations in humans and monkeys: a comparative fMRI study. NeuroImage, 62(3), 1376-89. doi:10.1016/j.neuroimage.2012.05.070

de Cheveigné, A. (2012). Quadratic component analysis. NeuroImage, 59(4), 3838-44. doi:10.1016/j.neuroimage.2011.10.084

Nelken, I. & de Cheveigné, A. (2013). An ear for statistics. Nature neuroscience, 16(4), 381-2. doi:10.1038/nn.3360

de Cheveigné, A., Edeline, J., Gaucher, Q. & Gourévitch, B. (2013). Component analysis reveals sharp tuning of the local field potential in the guinea pig auditory cortex. Journal of neurophysiology, 109(1), 261-72. doi:10.1152/jn.00040.2012

Moon, I., Won, J., Park, M., Ives, D., Nie, K., Heinz, M., Lorenzi, C. & Rubinstein, J. (2014). Optimal combination of neural temporal envelope and fine structure cues to explain speech identification in background noise. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(36), 12145-54. doi:10.1523/JNEUROSCI.1025-14.2014