no code implementations • 20 Sep 2023 • Giovanni Bindi, Nils Demerlé, Rodrigo Diaz, David Genova, Aliénor Golvet, Ben Hayes, Jiawen Huang, Lele Liu, Vincent Martos, Sarah Nabi, Teresa Pelinski, Lenny Renault, Saurjya Sarkar, Pedro Sarmento, Cyrus Vahidi, Lewis Wolstanholme, Yixiao Zhang, Axel Roebel, Nick Bryan-Kinns, Jean-Louis Giavitto, Mathieu Barthet
The students represent the future generation of AI and music researchers.
no code implementations • 11 Jul 2023 • Jackson Loth, Pedro Sarmento, CJ Carr, Zack Zukowski, Mathieu Barthet
Recent work in the field of symbolic music generation has shown value in using a tokenization based on the GuitarPro format, a symbolic representation supporting guitar expressive attributes, as an input and output representation.
no code implementations • 18 Apr 2023 • Adarsh Kumar, Pedro Sarmento
Subword tokenization has been widely successful in text-based natural language processing (NLP) tasks with Transformer-based models.
no code implementations • 10 Feb 2023 • Pedro Sarmento, Adarsh Kumar, Yu-Hua Chen, CJ Carr, Zack Zukowski, Mathieu Barthet
We trained a BERT model for downstream genre classification and used it to assess the results obtained with the genre-CTRL model.
1 code implementation • 30 Jul 2021 • Pedro Sarmento, Adarsh Kumar, CJ Carr, Zack Zukowski, Mathieu Barthet, Yi-Hsuan Yang
In this work, we present DadaGP, a new symbolic music dataset comprising 26, 181 song scores in the GuitarPro format covering 739 musical genres, along with an accompanying tokenized format well-suited for generative sequence models such as the Transformer.
1 code implementation • 8 Mar 2021 • Pedro Sarmento, Bárbara Rojas-Ayala, Elisa Delgado Mena, Sergi Blanco-Cuaresma
The scientific community's interest on the stellar parameters of M dwarfs has been increasing over the last few years, with potential applications ranging from galactic characterization to exoplanet detection.
Solar and Stellar Astrophysics