Phoneme-to-Audio Alignment with Recurrent Neural Networks for Speaking and Singing Voice. - Yann Teytaut; Axel Roebel (Interspeech, 2021)

Production Strategies of Vocal Attitudes. - Léane Salais; Pablo Arias 003; Clément Le Moine; Victor Rosi; Yann Teytaut; Nicolas Obin; Axel Roebel (INTERSPEECH, 2022)

A study on constraining Connectionist Temporal Classification for temporal audio alignment. - Yann Teytaut; Baptiste Bouvier; Axel Roebel (INTERSPEECH, 2022)

A Model You Can Hear: Audio Identification with Playable Prototypes. - Romain Loiseau; Baptiste Bouvier; Yann Teytaut; Elliot Vincent; Mathieu Aubry; Loïc Landrieu (ISMIR, 2022)

On temporal constraints for deep neural voice alignment. (Étude de contraintes temporelles pour l'alignement de voix par apprentissage profond). - Yann Teytaut (2023)

On Strategies to Exploit Dependencies Between Singing Voice Alignment and Separation. - Théo Nguyen; Yann Teytaut; Axel Roebel (EUSIPCO, 2024)