Own Production

Some Talks

• Jean-Pierre Briot, Nathan Fradet and Rens Baeyens (Orators), and Aurore Basson and Antoine Idczak (Direction and Production), Entretien sur Informatique et musique, LIP6, Paris, September 2024 In french
  • Jean-Pierre Briot, Support à l'Entretien filmé sur Informatique et Musique au LIP6, HAL: hal-04709249, September 2024

• Jean-Pierre Briot, Rogério Tavares Constante, Yuri Behr and Hugo Carvalho (moderator), Round-Table on: Music and tecnology, 8 Congresso MusMat 2024, Rio de Janeiro, October 2024 In portuguese

• Jean-Pierre Briot (coordinated by) Cycle of Seminars about AI, creativity and arts, CBAE-UFRJ, Rio de Janeiro, September-December 2023 In portuguese and in english

Some Recent Publications

• IA et dé-coïncidence créative, Jean-Pierre Briot, In Patrick Albert, editor, Intelligence artificielle et dé-coïncidence, Presses des Mines, to appear in 2025.
  HAL Version, HAL-04757391, July 2024. Web.

• Is quality enough? Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models, Constance Douwes, Giovanni Bindi, Antoine Caillon, Philippe Esling, and Jean-Pierre Briot, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 2023. IEEE. ISBN: 978-1-7281-6328-4. e-ISBN: 978-1-7281-6327-7. DOI: 10.1109/ICASSP49357.2023.10096975. PDF.

• Byte Pair Encoding for Symbolic Music, Nathan Fradet, Jean-Pierre Briot, Fabien Chhel, Amal El Fallah-Seghrouchni, and Nicolas Gutowski, arXiv:2301.11975, January 2023. Web.

• MidiTok: A Python Package for MIDI File Tokenization, Nathan Fradet, Jean-Pierre Briot, Fabien Chhel, Amal El Fallah-Seghrouchni, and Nicolas Gutowski, 22nd International Society for Music Information Retrieval Conference (ISMIR 2021), Online, November 2021. Late Breaking Demo. Web. HAL Version, HAL-03418930, November 2021: Web.

• Jean-Pierre Briot, Gaëtan Hadjeres and François-David Pachet, Deep Learning Techniques for Music Generation, Computational Synthesis and Creative Systems Series, Springer Verlag, 2020. ISBN: 978-3-319-70162-2. DOI: https://doi.org/10.1007/978-3-319-70163-9
  • Companion Mini Web Site

  • ArXiv version

  From artificial neural networks to deep learning for music generation - History, concepts and trends, Jean-Pierre Briot, Neural Computing and Applications (NCAA), Special issue Neural networks in Art, sound and Design, (33):39-65, January 2021. ISSN: 0941-0643. e-ISSN: 1433-3058. DOI: 10.1007/s00521-020-05399-0. Web. ArXiV Version, arXiv:2004.03586, April 2020, October 2020: Web.

• Compress to create, Jean-Pierre Briot, MusMat: Brazilian Journal of Music and Mathematics, IV(1):12-38, June 2020. ISSN: 2526-3757. Invited article. Web. HAL Version Web. MIDI files of the examples

• Music generation by deep learning - Challenges and directions. Jean-Pierre Briot and François Pachet, Neural Computing and Applications (NCAA), Special issue Deep learning for music and audio, 32(4):981-993, January 2020. ISSN: 0941-0643. e-ISSN: 1433-3058. DOI: 10.1007/s00521-018-3813-6. Web. ArXiV Version, arXiv:1712.04371, December 2017, September 2018: Web

• Jean-Pierre Briot, Apprentissage profond et génération de musique, Hors série Intelligence artificielle, Tangente - L'aventure mathématique, (68):30-37, September 2019

JPB, 13/11/2024

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