1 / 20

Towards Integration of MIR and Folk Song Research

Peter van Kranenburg, J ö rg Garbers, Anja Volk, Frans Wiering, Louis P. Grijp, Remco C. Veltkamp. Towards Integration of MIR and Folk Song Research. Introduction: Purpose. Present our approach to improve cooperation between Music Information Retrieval and Folk Song Research (Musicology).

dheidi
Download Presentation

Towards Integration of MIR and Folk Song Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Peter van Kranenburg, Jörg Garbers, Anja Volk, Frans Wiering, Louis P. Grijp, Remco C. Veltkamp Towards Integration of MIR and Folk Song Research

  2. Introduction: Purpose • Present our approach to • improve • cooperation between • Music Information Retrieval and • Folk Song Research (Musicology)

  3. Introduction: Central Question • How to retrieve related folk song melodies from a large database?

  4. Folk Song Research • Needed • Knowledge about Folk Song Melodies • Provided by • Folk Song Research (Volksliedkunde)

  5. Folk Song Research • Most important feature of folk songs: • Oral Transmission

  6. Folk Song Research: Major Tasks • Classification • Group together melodies that share some features • Identification • To which ‘tune-family’ does this melody belong?

  7. Folk Song Research: Classification • Classification • Krohn (early 20th c.) • Cadence tones • Bartók, Kodály (first half 20th c.) • Number of lines • Cadence tones • Number of syllables in each line • Ambitus • Dutch Archive of Folk Songs (mid 20th c.) • Accent tones

  8. Folk Songs in MIR • Folk Songs in Music Information Retrieval • Online search engines • ISMIR • Other studies

  9. Folk Songs in MIR: Search Engines • Search Engines • Danish Folklore Archives • Digital Archive of Finnish Folk Tunes • Themefinder • MELDEX • Musipedia • Very limited knowledge about oral variation incorporated

  10. Folk Songs in MIR: ISMIR and Essen • ISMIR proceedings 2001-2006: • 8 studies employing the Essen folk song collection. • None of these because of specific interest in folk songs.

  11. Folk songs in MIR: Other • Contour approach • Juhász (2000, 2002, 2004, 2006) • Huron (1995) • Segmentation • Juhász (2004) • Bod (2002) • Repeating Patterns • Conklin and Anagnostopoulou (2001) • Geographic data • Toiviainen and Eerola (2003) • Aarden and Huron (2001)

  12. Integration and Cooperation • For building a search engine • Integrate knowledge from Folk Song Research with knowledge and methods from Music Information Retrieval

  13. Evaluation • How to evaluate a search engine for folk song melodies? • A ground truth is based on choices, assumptions, hypotheses, theories about music, musical intuition, etc. Evaluate the musical model Ground Truth

  14. Music Information Retrieval Folk Song Research Music Information Retrieval Folk Song Research Computational Musicology Activities and Role Model Musical Modeling Implementation evaluation deployment

  15. Role Model: Folk Song Research • Tasks: • Defining concepts precisely • Evaluate implemented models • Effort to understand possibilities and limitations of computational approach Interest: Folk Music Methods: Musicological

  16. Role Model: Music Information Retrieval • Delivers: • Software components • Interface components • User models • Features • ... Interest: Music Information Systems Methods: Computer Science

  17. Role Model: Computational Musicology • Tasks • Deconstruct Folk Song Research concepts • Enable Folk Song Research to evaluate the implemented models • Pack software components into libraries & toolboxes • Provide frameworks Interest: (Folk) Music Methods: Computer Science

  18. Integration • The MIR community could gain much from pursuing the Computational Musicology-role more ambitiously. • And Musicology as well

  19. Future Directions • Use concepts from Folk Song Research • Most important: tune-family model • Use features from Folk Song Research • Develop new models for oral variation in collaboration with folk song researchers • Iteratively improve these musical models, thus avoiding the problem of ground truth • This will result in an increasing understanding of the concepts of Folk Song Research, thus in improved search engines.

  20. Questions? • Further Reading: • http://www.cs.uu.nl/research/techreps/UU-CS-2007-016.html

More Related