The WAIVE project promotes the use of public domain training data, by promoting the creative reuse of audiovisual heritage materials, such as field recordings, folkore music and public broadcasting. Together with a variety of European heritage institutions, they are building a series of open source AI-driven plugins (VSTs) for music production and video. The toolkit consists of a generative Sequencer, Sampler and Video Editor. Baltic midsummer folklore are turned into EDM beats, archival recordings of British trains become hi-hat samples and Dutch public news broadcasting is used to create video collages.

WAIVE project gives the source material a prominent role in its interface. This makes it possible for the user to play with the origin of the source and incorporate it into their storytelling. In recent years, Thunderboom records organised various live showcases with DJs and sound artists to enrich their creative toolkit while bringing archive material to the dance floor.

WAIVE is a collaboration between Thunderboom Records, Arran Lyon, Superposition and the Netherlands Institute for Sound and Vision. Funded by the Creative Industries Fund NL and the Mondrian Fund.

Presentation & Demo (Wed. 18 Dec. 15:00–16:00 @room 55.410 - UPF Poblenou campus)

Join the WAIVE team for a short presentation on the how and why they created the project, how the tool is built and what they’ve learned so far. In addition, they will showcase the tool and host a small interactive workshop and live demo.

Showcase (Wed. 18 Dec. 20:00–22:00 @Niu - Almogàvers, 208 Barcelona)

At Niu, MTG researchers Błażej Kotowski, Nicholas Evans, Behzad Haki will offer a showcase using a symbolic rhythm accompaniment system, together with a semi-autonomous, bendable neural synthesizer, both being outcomes of Music Technology Group. They will also integrate WAIVE for archive exploration, sample extraction and generation of visuals. All these tools will be incorporated into a broader software setup in the context of a live ambient / glitch music performance.

All the activities are free and open to everyone.

Activity in the frame of:

Cátedra UPF-BMAT en Inteligencia Articial y Música (TSI-100929-2023-1). Project funded by Secretaría de Estado de Digitalización e Inteligencia Artificial, and Unión Europea-Next Generation EU