Pyannote.Audio: Neural Building Blocks for Speaker Diarization. - Hervé Bredin; Ruiqing Yin; Juan Manuel Coria; Gregory Gelly; Pavel Korshunov; Marvin Lavechin; Diego Fustes; Hadrien Titeux; Wassim Bouaziz; Marie-Philippe Gill (ICASSP, 2020)

An Open-Source Voice Type Classifier for Child-Centered Daylong Recordings. - Marvin Lavechin; Ruben Bousbib; Hervé Bredin; Emmanuel Dupoux; Alejandrina Cristià (INTERSPEECH, 2020)

End-to-End Domain-Adversarial Voice Activity Detection. - Marvin Lavechin; Marie-Philippe Gill; Ruben Bousbib; Hervé Bredin; Leibny Paola García-Perera (INTERSPEECH, 2020)

Speaker Detection in the Wild: Lessons Learned from JSALT 2019. - Leibny Paola García-Perera; Jesús Villalba 001; Hervé Bredin; Jun Du 002; Diego Castán; Alejandrina Cristià; Latané Bullock; Ling Guo; Koji Okabe; Phani Sankar Nidadavolu; Saurabh Kataria 001; Sizhu Chen; et al. (Odyssey, 2020)

ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition. - Afra Alishahi; Grzegorz Chrupala; Alejandrina Cristià; Emmanuel Dupoux; Bertrand Higy; Marvin Lavechin; Okko Räsänen; Chen Yu (CoRR, 2021)

Probing phoneme, language and speaker information in unsupervised speech representations. - Maureen de Seyssel; Marvin Lavechin; Yossi Adi; Emmanuel Dupoux; Guillaume Wisniewski (INTERSPEECH, 2022)

Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation. - Marvin Lavechin; Marianne Métais; Hadrien Titeux; Alodie Boissonnet; Jade Copet; Morgane Rivière; Elika Bergelson; Alejandrina Cristià; Emmanuel Dupoux; Hervé Bredin (ASRU, 2023)

BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models. - Marvin Lavechin; Yaya Sy; Hadrien Titeux; María Andrea Cruz Blandón; Okko Räsänen; Hervé Bredin; Emmanuel Dupoux; Alejandrina Cristià (INTERSPEECH, 2023)

ProsAudit, a prosodic benchmark for self-supervised speech models. - Maureen de Seyssel; Marvin Lavechin; Hadrien Titeux; Arthur Thomas; Gwendal Virlet; Andrea Santos Revilla; Guillaume Wisniewski; Bogdan Ludusan; Emmanuel Dupoux (INTERSPEECH, 2023)

Measuring Language Development From Child-centered Recordings. - Yaya Sy; William N. Havard; Marvin Lavechin; Emmanuel Dupoux; Alejandrina Cristià (INTERSPEECH, 2023)

Artificial neural networks to analyze and simulate language acquisition in children. (Les réseaux de neurones artificiels pour analyser et simuler l'acquisition du langage chez les enfants). - Marvin Lavechin (2023)

Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier. - Tarek Kunze; Marianne Métais; Hadrien Titeux; Lucas Elbert; Joseph Coffey; Emmanuel Dupoux; Alejandrina Cristià; Marvin Lavechin (CoRR, 2025)

Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity. - Loann Peurey; Marvin Lavechin; Tarek Kunze; Manel Khentout; Lucas Gautheron; Emmanuel Dupoux; Alejandrina Cristià (CoRR, 2025)

Classification errors distort findings in automated speech processing: examples and solutions from child-development research. - Lucas Gautheron; Evan Kidd; Anton Malko; Marvin Lavechin; Alejandrina Cristià (CoRR, 2025)