Guillem Bonafos

Identifiants chercheurs

IdHAL :

guillem-bonafos

ORCID :

0000-0002-7111-0288

IdRef :

285520822

arXiv :

bonafos_g_1

ResearcherID :

ABF-9875-2021

Présentation

My research is driven by a fundamental question: how does language emerge?

I investigate this question by studying children’s vocalizations during the pre-linguistic stage, viewing them as a window into the mechanisms that precede and shape language acquisition. In particular, I examine the information structure of early vocal behavior and the extent to which these signals can predict subsequent developmental trajectories.

Methodologically, my work combines machine learning and topological data analysis to uncover the structure of high-dimensional vocalization data. I aim to learn representations that are both maximally informative and intrinsically interpretable, allowing links to be drawn between computational structure and developmental processes. At the same time, the developmental dynamics of vocalizations provide a principled framework for probing, constraining, and ultimately disentangling these learned representational spaces.

Publications

Article dans une revue (5)

Topological data analysis of human vowels: Persistent homologies across representation spaces Guillem Bonafos,Pierre Pudlo,Jean-Marc Freyermuth,Samuel Tronçon,Arnaud Rey Speech Communication, 2026, 178, pp.103363. ⟨10.1016/j.specom.2026.103363⟩ Article dans une revue hal-04638297v1
Premature baby cries remain different from those of full-term babies Guillem Bonafos,Flavie Vial,Clément Cornec,Léo Papet,Lény Legoet al. Journal of the Acoustical Society of America, 2025, 157 (6), pp.4175 - 4183. ⟨10.1121/10.0036842⟩ Article dans une revue hal-05245427v1
Learning Higher‐Order Transitional Probabilities in Nonhuman Primates Arnaud Rey,Joël Fagot,Fabien Mathy,Laura Lazartigues,Laure Tosattoet al. Cognitive Science, 2022, 46 (4), ⟨10.1111/cogs.13121⟩ Article dans une revue hal-03631173v1
Detecting non-adjacent dependencies is the exception rather than the rule Laure Tosatto,Guillem Bonafos,Jean-Baptiste Melmi,Arnaud Rey PLoS ONE, 2022, 17 (7), pp.e0270580. ⟨10.1371/journal.pone.0270580⟩ Article dans une revue hal-03725351v1
Detection of regularities in a random environment Arnaud R Rey,Louisa Bogaerts,Laure Tosatto,Guillem Bonafos,Ana Francoet al. Quarterly Journal of Experimental Psychology, 2020, pp.174702182094135. ⟨10.1177/1747021820941356⟩ Article dans une revue hal-02943212v1

Communication dans un congrès (2)

Speech transformer models for extracting information from baby cries Guillem Bonafos,Jérémy Rouch,Lény Lego,David Reby,Hugues Paturalet al. Workshop on Child Computer Interaction - WOCCI 2025, Aug 2025, Nijmegen, Netherlands. pp.11 - 15, ⟨10.21437/wocci.2025-3⟩ Communication dans un congrès hal-05304733v1
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations Guillem Bonafos,Clara Bourot,Pierre Pudlo,Jean-Marc Freyermuth,Laurence Reboulet al. Interspeech 2024, ISCA, 2024, Kos, Greece. pp.3605-3609, ⟨10.21437/Interspeech.2024-394⟩ Communication dans un congrès hal-04638275v1

Poster de conférence (1)

Application to long recordings of babies: Automatic extraction of infant vocalizations from one year home audio recordings Guillem Bonafos,Clara Bourot,Pierre Pudlo,Jean-Marc Freyermuth,Laurence Reboulet al. Workshop on Infant Language Development (WILD-2024), Jun 2024, Lisbonne, Portugal Poster de conférence hal-04630681v1

Pré-publication, Document de travail (1)

Detection and classification of vocal productions in large scale audio recordings Guillem Bonafos,Pierre Pudlo,Jean-Marc Freyermuth,Thierry Legou,Joël Fagotet al. 2023 Pré-publication, Document de travail hal-04264454v1

Thèse (1)

Classification non-supervisée des productions vocales chez le bébé humain entre 0 et 12 mois Guillem Bonafos Statistiques [math.ST]. Aix-marseille University, 2023. Français. ⟨NNT : 2023AIXM0487⟩ Thèse tel-04607513v1