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Phoneme-to-Audio Alignment with Recurrent Neural Networks for Speaking and Singing Voice

Y. Teytaut and A. Roebel. Phoneme-to-audio alignment with recurrent neural networks for speaking and singing voice. In Proceedings of Interspeech 2021, pages 61–65. International Speech Communication Association; ISCA, 2021

Production Strategies of Vocal Attitudes

L. Salais, P. Arias, C. Le Moine, V. Rosi, Y. Teytaut, N. Obin, and A. Roebel. Production strategies of vocal attitudes. In Interspeech 2022, pages 4985–4989. ISCA, 2022.

A Study on Constraining Connectionist Temporal Classification for Temporal Audio Alignment

Y. Teytaut, B. Bouvier, and A. Roebel. A study on constraining connectionist temporal classification for temporal audio alignment. In Interspeech 2022, pages 5015–5019. ISCA, 2022.

A Model You Can Hear: Audio Identification with Playable Prototypes

R. Loiseau, B. Bouvier, Y. Teytaut, E. Vincent, M. Aubry, and L. Landrieu. A model you can hear: Audio identification with playable prototypes. In 23rd International Society for Music Information Retrieval Conference (ISMIR 2022), 2022.

A Linear Memory CTC-Based Algorithm for Text-to-Voice Alignment of Very Long Audio Recordings

G. Doras, Y. Teytaut, and A. Roebel. A linear memory ctc-based algorithm for text-to-voice alignment of very long audio recordings. Applied Sciences, 13(3):1854, 2023.

A Musicological Pipeline for Singing Voice Style Analysis with Neural Voice Processing and Alignment

Y. Teytaut, A. Petit, C. Chabot-Canet, and A. Roebel. A musicological pipeline for singing voice style analysis with neural voice processing and alignment. In Journées d Informatique Musicale (JIM 2023), Saint-Denis, 2023.

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