Music Information Retrieval (MIR) refers to the interdisciplinary field of computer science, musicology and electrical engineering that deals with the storage, retrieval, and organization of music-related data. It involves the development of techniques and algorithms for analyzing, searching, and extracting information from music signals and symbolic representations of music.
The current state of MIR is active and rapidly evolving, with ongoing research in various areas such as music transcription, music similarity and genre classification, music structure analysis, and audio-based music recommendation. Deep learning techniques have been applied to many MIR tasks with great success, and there is a growing interest in developing systems that can understand and generate music in a more human-like way.
David Hoga (Head of Smart Music)
All the recordings of past AI-Cafés are available on this YouTube channel.
Carmen Mac Williams Organizer, and Moderator of the AI-Cafe. She is the Director of the company Grassroots Arts, and a partner in the European AI4media project.
Emma, co-organiser and co-moderator of the AI-Cafés. Research Assistant at Grassroots Arts.
This Café is organized by Grassroots Arts. If you have questions about the organisation of this AI-Café or if you want to become a Speaker yourself in one of the next Web Cafe Sessions, please contact email@example.com.
The recordings of the past Web Cafes you can find on our AI-Café video channel: https://www.gotostage.com/channel/ai-cafe. Here is the link to the AI-Cafe website: https://ai-cafe.eu/
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