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
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.
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.
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.
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.
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.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA