Thomas Schatz
Cited by
Cited by
The zero resource speech challenge 2015.
M Versteegh, R Thiolliere, T Schatz, XN Cao, X Anguera, A Jansen, ...
Interspeech 15, 3169-3173, 2015
Evaluating speech features with the minimal-pair ABX task: Analysis of the classical MFC/PLP pipeline
T Schatz, V Peddinti, F Bach, A Jansen, H Hermansky, E Dupoux
INTERSPEECH 2013: 14th Annual Conference of the International Speech …, 2013
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
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition
Proceedings of the IEEE International Conference on Acoustics, Speech and …, 2013
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
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
Phonetics embedding learning with side information
G Synnaeve, T Schatz, E Dupoux
2014 IEEE Spoken Language Technology Workshop (SLT), 106-111, 2014
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
ABX-discriminability measures and applications
T Schatz
Université Paris 6 (UPMC), 2016
Do infants really learn phonetic categories?
NH Feldman, S Goldwater, E Dupoux, T Schatz
Open Mind 5, 113-131, 2021
Sampling strategies in siamese networks for unsupervised speech representation learning
R Riad, C Dancette, J Karadayi, N Zeghidour, T Schatz, E Dupoux
arXiv preprint arXiv:1804.11297, 2018
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
Evaluating computational models of infant phonetic learning across languages
Y Matusevych, T Schatz, H Kamper, NH Feldman, S Goldwater
arXiv preprint arXiv:2008.02888, 2020
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
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
Learning motor dependent Crutchfield's information distance to anticipate changes in the topology of sensory body maps
T Schatz, PY Oudeyer
2009 IEEE 8th International Conference on Development and Learning, 1-6, 2009
A phonetic model of non-native spoken word processing
Y Matusevych, H Kamper, T Schatz, NH Feldman, S Goldwater
arXiv preprint arXiv:2101.11332, 2021
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
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
A quantitative measure of the impact of coarticulation on phone discriminability
T Schatz, R Turnbull, F Bach, E Dupoux
Interspeech 2017, 2017
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