Articles avec mandats d'accès public - Thomas SchatzEn savoir plus
Disponibles quelque part : 17
The zero resource speech challenge 2015.
M Versteegh, R Thiolliere, T Schatz, XN Cao, X Anguera, A Jansen, ...
Interspeech 15, 3169-3173, 2015
Exigences : European Commission
Learning filterbanks from raw speech for phone recognition
N Zeghidour, N Usunier, I Kokkinos, T Schaiz, G Synnaeve, E Dupoux
2018 IEEE international conference on acoustics, speech and signal …, 2018
Exigences : European Commission
Mothers speak less clearly to infants than to adults: A comprehensive test of the hyperarticulation hypothesis
A Martin, T Schatz, M Versteegh, K Miyazawa, R Mazuka, E Dupoux, ...
Psychological science 26 (3), 341-347, 2015
Exigences : European Commission
Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input
T Schatz, NH Feldman, S Goldwater, XN Cao, E Dupoux
Proceedings of the National Academy of Sciences 118 (7), e2001844118, 2021
Exigences : US National Science Foundation, UK Economic and Social Research Council …
Phonetics embedding learning with side information
G Synnaeve, T Schatz, E Dupoux
2014 IEEE Spoken Language Technology Workshop (SLT), 106-111, 2014
Exigences : European Commission
Evaluating speech features with the Minimal-Pair ABX task (II): Resistance to noise
T Schatz, V Peddinti, XN Cao, F Bach, H Hermansky, E Dupoux
Fifteenth Annual Conference of the International Speech Communication …, 2014
Exigences : European Commission
Do infants really learn phonetic categories?
NH Feldman, S Goldwater, E Dupoux, T Schatz
Open Mind 5, 113-131, 2021
Exigences : US National Science Foundation, UK Economic and Social Research Council …
Neural network vs. HMM speech recognition systems as models of human cross-linguistic phonetic perception
T Schatz, NH Feldman
Proceedings of the conference on cognitive computational neuroscience, 2018
Exigences : US National Science Foundation
Exploring the relative role of bottom-up and top-down information in phoneme learning
A Fourtassi, T Schatz, B Varadarajan, E Dupoux
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
Exigences : European Commission
Evaluating automatic speech recognition systems as quantitative models of cross-lingual phonetic category perception
T Schatz, F Bach, E Dupoux
The Journal of the Acoustical Society of America 143 (5), EL372-EL378, 2018
Exigences : US National Science Foundation, European Commission
Input matters in the modeling of early phonetic learning
R Li, T Schatz, Y Matusevych, S Goldwater, NH Feldman
Proceedings of the Annual Conference of the Cognitive Science Society, 2020
Exigences : US National Science Foundation, UK Economic and Social Research Council
Infant phonetic learning as perceptual space learning: A crosslinguistic evaluation of computational models
Y Matusevych, T Schatz, H Kamper, NH Feldman, S Goldwater
Cognitive Science 47 (7), e13314, 2023
Exigences : US National Science Foundation, UK Economic and Social Research Council …
A quantitative model of the language familiarity effect in infancy
CA Thorburn, NH Feldman, T Schatz
Proceedings of the conference on cognitive computational neuroscience, 2019
Exigences : US National Science Foundation, UK Economic and Social Research Council
A quantitative measure of the impact of coarticulation on phone discriminability
T Schatz, R Turnbull, F Bach, E Dupoux
Interspeech 2017, 2017
Exigences : European Commission
Modeling the initial state of early phonetic learning in infants
M Poli, T Schatz, E Dupoux, M Lavechin
OSF, 2024
Exigences : Agence Nationale de la Recherche
Language Discrimination May Not Rely on Rhythm: A Computational Study
RL Famularo, A Aboelata, T Schatz, NH Feldman
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024
Exigences : Agence Nationale de la Recherche
Modeling Rhythm in Speech as in Music: Towards a Unified Cognitive Representation
R Li, T Schatz, NH Feldman
Proceedings of the Conference on Cognitive Computational Neuroscience, 2022
Exigences : US National Science Foundation
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