Auteur/autrice : Gerard Assayag
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, & Shlomo Dubnov. (2023). Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. Proceedings of the 24th International Society for Music Information Retrieval Conference, 657‑663. Full publication Download publication Abstract: In deep learning research, many melody extraction models rely on redesigning neural network architectures to improve performance. […]
LA SYMPHONIE SYNTHÉTIQUE
Read full article (subscribers only) Extract: Intelligence artificielle, ChatGPT… ces thèmes font aujourd’hui couler beaucoup d’encre. Quels sont les impacts de ces technologies dans le domaine musical? De (vrais) spécialistes répondent à notre (vrai) journaliste. « L’intelligence artificielle (IA) révolutionne la musique en contribuant à la composition, à l’interprétation, à l’analyse, à la transcription […]
Toward Real-Time Recognition of Instrumental Playing Techniques for Mixed Music: A Preliminary Analysis
Nicolas Brochec, Tsubasa Tanaka. Toward Real-Time Recognition of Instrumental Playing Techniquesfor Mixed Music: A Preliminary Analysis. International Computer Music Conference (ICMC 2023),Oct 2023, Shenzhen, China. ffhal-04263718f Full publication Download PDF Abstract: In contemporary mixed music, real-time digital sound processing is often applied to live instrumental performances. However, switching between sound effects often relies on manual […]
Marc Chemillier: Bi-musicality at the age of artificial intelligence
A Distinguished Lecture from Marc Chemillier, musician, computer scientist and anthropologist based in Paris, France. Distinguished Lecture: October 16, 2023 – 18:00 – 19:00Tanna Schulich Hall, 527 Sherbrooke W. The lecture will take place in TANNA SCHULICH HALL, followed by a wine and cheese reception in the lobby of the Elizabeth Wirth Music Building. This event is free […]
New, Generative AI Transforms Poetry into Music
Read original article Artificial intelligence (AI) shows its artistic side in a new algorithm created by researchers from UC San Diego and the Institute for Research and Coordination in Acoustics/Music (IRCAM) in Paris, France. The new algorithm, called the Music Latent Diffusion Model (MusicLDM), helps create music out of “sound poetry,” a practice that uses […]