Kharitonov, E., Rivière, M., Synnaeve, G., Wolf, L., Mazaré, P., Douze, M. & Dupoux, E. (2021). Data Augmenting Contrastive Learning of Speech Representations in the Time Domain. In IEEE (Eds.), In 2021 IEEE Spoken Language Technology Workshop (SLT, 215-222.
Acte de conférence expertisé
Rivière, M. & Dupoux, E. (2021). Towards unsupervised learning of speech features in the wild. In 2021 IEEE Spoken Language Technology Workshop (SLT), 156-163.
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Schatz, T., Feldman, N., Goldwater, S., Cao, X. & Dupoux, E. (2021). Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input. In National Academy of Sciences (Eds.), Vol. 118: In Proceedings of the National Academy of Sciences, 7. doi:10.31234/osf.io/fc4wh
Dunbar, E., Bernard, M., Hamilakis, N., Nguyen, T. , de Seyssel, M., Rozé, P., Rivière, M., Kharitonov, E. & Dupoux, E. (2021). The Zero Resource Speech Challenge 2021: Spoken language modelling. In Conference of the International Speech Communication Association, Brno, Czech Republic. doi:10.1109/TPAMI.2021.3083839
de Seyssel, M. & Dupoux, E. (2020). Does bilingual input hurt? A simulation of language discrimination and clustering using i-vectors. In CogSci 2020-42nd Annual Virtual Meeting of the Cognitive Science Society.
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Rivière, M., Mazaré, P., Joulin, A. & Dupoux, E. (2020). Unsupervised pretraining transfers well across languages. In IEEE (Eds.), In ICASSP-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/ICASSP40776.2020.9054548
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Riad, R., Bachoud-Levi, A., Rudzicz , F. & Dupoux, E. (2020). Identification of primary and collateral tracks in stuttered speech. , Vol. Proceedings of The 12th Language Resources and Evaluation Conference: In LREC, European Language Resources Association, 1681–1688.
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Er Jiang, B., Dunbar, E., Sonderegger, M., Clayards, M. & Dupoux, E. (2020). Modelling Perceptual Effects of Phonology with ASR Systems. In CogSci 2020-42nd Annual Virtual Meeting of the Cognitive Science Society.
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Fourtassi, A. & Dupoux, E. (2019). Phoneme learning is influenced by the taxonomic organization of the semantic referents. In Cognitive Science Society (Eds.), In Proceedings of the Cognitive Science Conference, 323-324.
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Chaabouni, R., Kharitonov, E., Dupoux, E. & Baroni, M. (2019). Anti-efficient encoding in emergent communication. In NeuRIPS.
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Chaabouni, R., Kharitonov, E., Lazaric, A., Dupoux, E. & Baroni, M. (2019). Word-order biases in deep-agent emergent communication. In ACL 2019.
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Dunbar, E., Algayres, R., Karadayi, J., Bernard, M., Benjumea, J., Cao, X., Miskic, L., Dugrain, C., Ondel, L., Black, A., Besacier, L., Sakti, S. & Dupoux, E. (2019). The Zero Resource Speech Challenge 2019: TTS without T. In INTERSPEECH-2019.
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Thual, A., Dancette, C., Karadayi, J., Benjumea, J. & Dupoux, E. (2018). A K-nearest neighbours approach to unsupervised spoken term discovery. In EEE Spoken Language Technology SLT-2018.
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Holzenberger, N., Du, M., Karadayi, J., Riad, R. & Dupoux, E. (2018). Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments. In Interspeech 2018. doi:10.21437/Interspeech.2018-2364
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.
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Cao, X., Dakhlia, C., Del Carmen, P., Jaouani, M., Ould-Arbi, M. & Dupoux, E. (2018). Baby Cloud, a technological platform for parents and researchers. In LREC 2018 - 11th edition of the Language Resources and Evaluation Conference.
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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
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Ondel, L., Godard, P., Besacier, L., Larsen, E., Hasegawa-Johnson, M., Scharenborg, O., Dupoux, E., Burget, L., Yvon, F. & Khudanpur, S. (2018). Bayesian Models For Unit Discovery On a Very Low Resource Language. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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Défossez, A., Zeghidour, N., Usunier, N., Bottou, L. & Bach, F. (2018). SING: Symbol-to-Instrument Neural Generator. In Conference on Neural Information Processing Systems (NIPS), Dec 2018, Montréal, Canada.