Computational tools for knowledge-driven music browsing Gopala - - PowerPoint PPT Presentation

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Computational tools for knowledge-driven music browsing Gopala - - PowerPoint PPT Presentation

Feb 27, 2024 187 likes •490 views

Computational tools for knowledge-driven music browsing Gopala Krishna Koduri, Xavier Serra {gopala.koduri, xavier.serra}@upf.edu Music Technology Group Universitat Pompeu Fabra Barcelona, Spain Part - I THE CURRENT STATE OF THE AFFAIRS

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Computational tools for knowledge-driven music browsing

Gopala Krishna Koduri, Xavier Serra {gopala.koduri, xavier.serra}@upf.edu Music Technology Group Universitat Pompeu Fabra Barcelona, Spain

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THE CURRENT STATE OF THE AFFAIRS

Part - I

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Data Sources

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Data Sources

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Data Structuring

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Data Structuring

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Data Structuring

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Data Structuring

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Entities

  • Also geographical regions, lineage etc…
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How do we use this data?

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Browsing the collections

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Similarity measures for exploration

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Application Programming Interface

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WORK IN PROGRESS

Part - II

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Limitations: Disconnected sources

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Limitations: Simplistic similarity

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Next steps

  • Linking data sources

– More insights! – Provenance and Trust

  • Machine-readable descriptions
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Linked data example: Facebook

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Linked data example: Google

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How do they do it?

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Machine readable descriptions

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Machine readable descriptions

  • Definition
  • Classification
  • Association
  • …

Semantics

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Semantics of musical concepts: raaga

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Semantics of musical concepts: raaga

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Knowledge from community data

Raaga Relation between raagas Musical form

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What do all these entail?

  • List all the performances of Bhairavi and it’s

allied raagas, of artists from Semmangudi’s lineage, at the music academy.

  • What are the distinguishing phrases of

Pantuvarali raaga in the performances of artists from X and Y regions?

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The ultimate goal

Data gathering Audio analysis Data structuring Musicological validation Music exploration User profjling

A data repository with varied sources

  • MusicBrainz, Wikipedia, Kutcheris.com
  • Outputs from audio analysis
  • Semantic descriptions of musical concepts
  • Knowledge extracted from user generated data
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THANK YOU!