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GiantSteps - Seven League Boots for Music Creation and Performance

  • Böck, Sebastian (Researcher)
  • Knees, Peter (PI)

Project: Funded researchEU - European Union

Project Details

Description

The GiantSteps project aims to create the "seven-league boots" for music production in the next decade and beyond. We envision digital musical tools that unleash the creative potential of practitioners by targeting three directions: Developing and integrating musical expert agents, supportive and inspirational systems for melody, harmony, rhythm, structure or style, providing suggestions from sample to song level, while guiding users when they lack inspiration or technical or musical knowledge. These systems will be based on the latest findings in multimodal music information research (MIR) on symbolic, audio and metadata, as well as on new recommendation strategies for the music production domain. Developing improved interfaces and paradigms for musical human-computer interaction and collaborative control of multi-dimensional parameter spaces, leading to intuitive, expressive and tangible input modalities. These interfaces will incorporate novel visualisation techniques that provide meaningful and relevant feedback to enable fast comprehensibility for novices and improved workflows for professionals. Addressing low cost portable devices by developing low complexity algorithms for music analysis and recommendation tailored to their capabilities. This will allow for beyond state of the art music analysis algorithms in affordable production tools and Apps that can be easily distributed and accessed by both professionals and amateurs. The GiantSteps project unites leading music research institutions, industrial R&D companies, and music practitioners, to combine techniques and technologies in new ways, including state of the art interface design techniques with MIR methods new in the areas of real time interaction and creativity. The consortium's industry partners will guarantee the alignment of these cutting edge technologies with market requirements.
StatusFinished
Effective start/end date01.11.201331.10.2016

Collaborative partners

  • Johannes Kepler University Linz (lead)
  • Rectable Systems (Project partner)
  • Native Instruments (Project partner)
  • Red Bull Music Academy (Yadastar GmbH), (Project partner)
  • STEIM (Project partner)
  • JCP-Consult SAS, (Project partner)
  • Universitat Pompeu Fabra, (Project partner)

Fields of science

  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102015 Information systems
  • 202002 Audiovisual media

JKU Focus areas

  • Digital Transformation