Publications

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.

Zimmerer, V. , Hardy, C. , Eastman, J. , Dutta, S. , Varnet, L., Bond, R. , Russell, L. , D. Warren, J. & Varleya, R. (2020). Automated profiling of spontaneous speech in primary progressive aphasia and behavioral-variant frontotemporal dementia: An approach based on usage-frequency. Cortex, 133, 103-119. doi:10.1016/j.cortex.2020.08.027

Zeghidour, N., Usunier, N., Synnaeve, G., Collobert, R. & Dupoux, E. (2019). End-to-End Speech Recognition from the raw waveform. In Interspeech-2018.

Zeghidour, N., Usunier, N., Synnaeve, G., Collobert, R. & Dupoux, E. (2018). End-to-End Speech Recognition From the Raw Waveform. In Interspeech 2018. doi:10.21437/Interspeech.2018-2414

Zeghidour, N., Usunier, N., Kokkinos, I., Schatz, T., Synnaeve, G. & Dupoux, E. (2018). Learning Filterbanks from Raw Speech for Phoneme Recognition. In ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing.

Zeghidour, N., Synnaeve, G., Usunier, N. & Dupoux, E. (2016). Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. In INTERSPEECH-2016, 1295-1299.

Zeghidour, N., Synnaeve, G., Versteegh, M. & Dupoux, E. (2016 ). A Deep Scattering Spectrum - Deep Siamese Network Pipeline For Unsupervised Acoustic Modeling. In ICASSP-2016, 4965-4969.

Yin, P., Strait, D. , Radtke-Schuller, S., Fritz, J. & Shamma, S. (2020). Dynamics and Hierarchical Encoding of Non-compact Acoustic Categories in Auditory and Frontal Cortex. , 30(9), 1649-1663.e5. doi:10.1016/j.cub.2020.02.047

Yin, P., Shamma, S. & Fritz, J. (2016). Relative salience of spectral and temporal features in auditory long-term memory. The Journal of the Acoustical Society of America, 140(6), 4046. doi:10.1121/1.4968395

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

Wong, D., Fuglsang , S., Hjortkjær, J., Ceolini, E., Slaney, M. & de Cheveigné, A. (2018). A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding. Frontiers in Neuroscience, 12, 1-16. doi:10.3389/fnins.2018.00531

Winkowski, D., Nagode, D., Donaldson, K., Yin, P., Shamma, S., Fritz, J. & Kanold, P. (2018). Orbitofrontal Cortex Neurons Respond to Sound and Activate Primary Auditory Cortex Neurons. Cerebral cortex , 28(3):868-879(3), 868-879. doi:10.1093/cercor/bhw409

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

Wallaert, N., Varnet, L., Moore, B. & Lorenzi, C. (2018). Sensorineural hearing loss impairs sensitivity but spares temporal integration for detection of frequency modulation. J Acoust Soc Am. , 144(2), 720. doi:10.1121/1.5049364

Wallaert, N., Moore, B., Ewert, S. & Lorenzi, C. (2017). Sensorineural hearing loss enhances auditory sensitivity and temporal integration for amplitude modulation. The Journal of the Acoustical Society of America, 141(2), 971. doi:10.1121/1.4976080

Wallaert, N., Moore, B. & Lorenzi, C. (2016). Comparing the effects of age on amplitude modulation and frequency modulation detection. The Journal of the Acoustical Society of America, 139(6), 3088. doi:10.1121/1.4953019

Versteegh, M., Anguera, X., Jansen, A. & Dupoux, E. (2016). The Zero Resource Speech Challenge 2015: Proposed Approaches and Results. , Vol. 81: In SLTU-2016 Procedia Computer Science, 67-72.

Versteegh, M., Thiollière, R., Schatz, T., Cao, X., Anguera, X., Jansen, A. & Dupoux, E. (2015). The Zero Resource Speech Challenge 2015. In INTERSPEECH-2015, 3169-3173.

Verschooten, E. , Shamma, S., Oxenham, A., Moore, B., Joris, P. , Heinz, M. & Plack, C. (2019). The upper frequency limit for the use of phase locking to code temporal fine structure in humans: A compilation of viewpoints. Hearing Research, 377, 109-121. doi:10.1016/j.heares.2019.03.011

Verheyen, S. , White, A. & Egré, P. (2020). Revealing Criterial Vagueness in Inconsistencies. Open Mind: Discoveries in Cognitive Science, 41-51. doi:10.1162/opmi_a_00025

Verheyen, S., Dewil, S. & Egré, P. (2018). Subjectivity in Gradable Adjectives: The Case of Tall and Heavy. Mind and Language, 33(5), 460–479

Verheyen, S. & Egré, P. (2018). Typicality and Graded Membership in Dimensional Adjectives. Cognitive Science, 42(7 ), 2250–2286

Verhey, J., Pressnitzer, D. & Winter, I. (2003). The psychophysics and physiology of comodulation masking release. Experimental brain research, 153(4), 405-17. doi:10.1007/s00221-003-1607-1

Varnet, L., Agnès C., L., Boucher, S. , Bonnet, C. , Petit, C. & Lorenzi, C. (2021). Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis. Front. Aging Neurosci., 13, 83. doi:10.3389/fnagi.2021.640522

Varnet, L., Langlet, C., Lorenzi, C., Lazard, D. & Micheyl, C. (2019). High-Frequency Sensorineural Hearing Loss Alters Cue-Weighting Strategies for Discriminating Stop Consonants in Noise. Trends in Hearing, 23. doi:10.1177/2331216519886707

Varnet, L., Meunier, F. & Hoen, M. (2016). Speech reductions cause a de-weighting of secondary acoustic cues. In Interspeech. doi:10.21437/Interspeech.2016-343

Varnet, L., Ortiz-Barajas, M., Erra, R., Gervain, J. & Lorenzi, C. (2017). A cross-linguistic study of speech modulation spectra. The Journal of the Acoustical Society of America, 142(4), 1976. doi:10.1121/1.5006179

Varadarajan, B., Khudanpur, S. & Dupoux, E. (2008 ). Unsupervised Learning of Acoustic Subword Units. In Proceedings of ACL-08: HLT, 165-168.

V Kuchibhotla, K. , Hindmarsh Sten, T., C. Papadoyannis, E. , Elnozahy, S. , Fogelson, K. , Chillale, R. , Boubenec, Y., C. Holland, P. , Ostojic, S. & C. Froemke, R. (2020). Author Correction: Dissociating task acquisition from expression during learning reveals latent knowledge. Nat Commun, 11(3176). doi:10.1038/s41467-020-17023-9

V Kuchibhotla, K. , Hindmarsh Sten, T., C. Papadoyannis, E. , Elnozahy, S. , Fogelson, K. , Chillale, R. , Boubenec, Y., C. Holland, P. , Ostojic, S. & C. Froemke, R. (2019). Dissociating task acquisition from expression during learning reveals latent knowledge. Nature Communications, 10, 2151. doi:10.1038/s41467-019-10089-0