Exploring the multidimensional representation of individual speech acoustic parameters extracted by deep unsupervised models. - Maxime Jacquelin; Maeva Garnier; Laurent Girin; Rémy Vincent; Olivier Perrotin (SSW, 2023)

Exploring the Multidimensional Representation of Unidimensional Speech Acoustic Parameters Extracted by Deep Unsupervised Models. - Maxime Jacquelin; Maëva Garnier; Laurent Girin; Rémy Vincent; Olivier Perrotin (ICASSP Workshops, 2024)

Exploration de la représentation multidimensionnelle de paramètres acoustiques unidimensionnels de la parole extraits par des modèles profonds non supervisés. - Maxime Jacquelin; Maëva Garnier; Laurent Girin; Rémy Vincent; Olivier Perrotin (TALN (JEP), 2024)

Fill in the Gap! Combining Self-supervised Representation Learning with Neural Audio Synthesis for Speech Inpainting. - Ihab Asaad; Maxime Jacquelin; Olivier Perrotin; Laurent Girin; Thomas Hueber (CoRR, 2024)