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1
Musical Sophistication and Speech Auditory-Motor Coupling: Easy Tests for Quick Answers
In: Front Neurosci (2022)
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2
Motor representations underlie the reading of unfamiliar letter combinations
Taitz, Alan; Assaneo, M. Florencia; Shalom, Diego E.. - : Nature Publishing Group UK, 2020
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3
MEG and Language
In: https://hal.archives-ouvertes.fr/hal-02265485 ; 2019 (2019)
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4
Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning
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5
Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning
Assaneo, M. Florencia; Ripollés, Pablo; Orpella, Joan. - : Nature Publishing Group, 2019
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6
The Lateralization of Speech-Brain Coupling Is Differentially Modulated by Intrinsic Auditory and Top-Down Mechanisms
Assaneo, M. Florencia; Rimmele, J. M.; Orpella, Joan. - : Frontiers Media, 2019
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7
The audiovisual structure of onomatopoeias: An intrusion of real-world physics in lexical creation
In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.sorbonne-universite.fr/hal-01774896 ; PLoS ONE, Public Library of Science, 2018, 13 (3), pp.e0193466. ⟨10.1371/journal.pone.0193466⟩ (2018)
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8
The audiovisual structure of onomatopoeias: An intrusion of real-world physics in lexical creation
Taitz, Alan; Assaneo, M. Florencia; Elisei, Natalia. - : Public Library of Science, 2018
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9
Exploring the anatomical encoding of voice with a mathematical model of the vocal system.
In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.inria.fr/hal-01498364 ; NeuroImage, Elsevier, 2016, 141, pp.31-9. ⟨10.1016/j.neuroimage.2016.07.033⟩ (2016)
Abstract: International audience ; The faculty of language depends on the interplay between the production and perception of speech sounds. A relevant open question is whether the dimensions that organize voice perception in the brain are acoustical or depend on properties of the vocal system that produced it. One of the main empirical difficulties in answering this question is to generate sounds that vary along a continuum according to the anatomical properties the vocal apparatus that produced them. Here we use a mathematical model that offers the unique possibility of synthesizing vocal sounds by controlling a small set of anatomically based parameters. In a first stage the quality of the synthetic voice was evaluated. Using specific time traces for sub-glottal pressure and tension of the vocal folds, the synthetic voices generated perceptual responses, which are indistinguishable from those of real speech. The synthesizer was then used to investigate how the auditory cortex responds to the perception of voice depending on the anatomy of the vocal apparatus. Our fMRI results show that sounds are perceived as human vocalizations when produced by a vocal system that follows a simple relationship between the size of the vocal folds and the vocal tract. We found that these anatomical parameters encode the perceptual vocal identity (male, female, child) and show that the brain areas that respond to human speech also encode vocal identity. On the basis of these results, we propose that this low-dimensional model of the vocal system is capable of generating realistic voices and represents a novel tool to explore the voice perception with a precise control of the anatomical variables that generate speech. Furthermore, the model provides an explanation of how auditory cortices encode voices in terms of the anatomical parameters of the vocal system.
Keyword: [SCCO.NEUR]Cognitive science/Neuroscience; Auditory cortex; Biomechanical model of the vocal system; Neural coding of voice; Voice identity
URL: https://hal.inria.fr/hal-01498364
https://doi.org/10.1016/j.neuroimage.2016.07.033
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