Publications
Conferences
de Seyssel, M., Lavechin, M., Adi, Y., Dupoux, E., & Wisniewski, G. (In press) Probing phoneme, language and speaker information in unsupervised speech representations. [Accepted at Interspeech 2022]
de Seyssel, M., Wisniewski, G. & Dupoux, E. (In press) Is the Language Familiarity Effect gradual ? A computational modelling approach. In Proceedings for the Annual Meeting of the Cognitive Science Society 2022
de Seyssel, M., Wisniewski, G., Dupoux, E., & Ludusan, B. (2022). Investigating the usefulness of i-vectors for automatic language characterization. In Proc. Speech Prosody 2022, 460-464, doi: 10.21437/SpeechProsody.2022-94
Dunbar, E., Bernard, M., Hamilakis, N., Nguyen, T.A., de Seyssel, M., Rozé, P., Rivière, M., Kharitonov, E. & Dupoux, E. (2021). The Zero Resource Speech Challenge 2021: Spoken Language Modelling. In Proc. Interspeech 2021, 1574-1578, doi: 10.21437/Interspeech.2021-1755
Nguyen, T. A.*, de Seyssel, M.*, Rozé, P., Rivière, M., Kharitonov, E., Baevski, A., Dunbar, E., & Dupoux,E. (2020). The zero resource speech benchmark 2021: Metrics and baselines for unsupervised spoken language modeling. Neurips Workshop on Self-Supervised Learning for Speech and Audio Processing.
de Seyssel, M. & Dupoux, E. (2020). Does bilingual input hurt? A simulation of language discrimination and clustering using i-vectors. In Proceedings for the Annual Meeting of the Cognitive Science Society 2020
Maudet, E., Cattan, O., de Seyssel, M., & Servan, C. (2019). Qwant Research@ DEFT 2019: appariement de documents et extraction d’informations à partir de cas cliniques (Document matching and information retrieval using clinical cases). In Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Défi Fouille de Textes (atelier TALN-RECITAL) (pp. 67-80).
Journals
- Lavechin, M., de Seyssel, M., Gautheron, L., Dupoux, E., & Cristia, A. (2021). Reverse-engineering language acquisition with child-centered long-form recordings. Annual Review of Linguistics, 8, 389-407.
Academic Dissertations
de Seyssel, M. (2017). Active learning for training data selection for Automatic Speech Recognition using Unreliable Transcriptions. [Unpublished MSc Dissertation]. University of Edinburgh. (Manuscript available on demand)
de Seyssel, M. (2016). The Role of Statistical and Crosslinguistic Prosodic Cues in Segmenting Groups of Words. [Unpublished BSc Dissertation]. City, University of London.
* denotes equal contribution as first author.