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A Review of Validity and its Relationship to Music Information Research
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
JKU Linz.
2023 (English)In: Proc. Int. Symp. Music Information Retrieval, 2023Conference paper, Published paper (Refereed)
Abstract [en]

Validity is the truth of an inference made from evidence and is a central concern in scientific work. Given the maturity of the domain of music information research (MIR), validity in our opinion should be discussed and considered much more than it has been so far. Puzzling MIR phenomena like adversarial attacks, horses, and performance glass ceilings become less mysterious through the lens of validity. In this paper, we review the subject of validity as presented in a key reference of causal inference: Shadish et al., "Experimental and Quasi-experimental Designs for Generalised Causal Inference". We discuss the four types of validity and threats to each one. We consider them in relationship to MIR experiments grounded with a practical demonstration using a typical MIR experiment. 

Place, publisher, year, edition, pages
2023.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-335908OAI: oai:DiVA.org:kth-335908DiVA, id: diva2:1795617
Conference
24th International Society for Music Information Retrieval Conference, Milan, Italy, 5 - 9 November, 2023
Funder
EU, Horizon 2020, 864189
Note

QC 20231006

Available from: 2023-09-09 Created: 2023-09-09 Last updated: 2023-10-06Bibliographically approved

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fulltext(179 kB)99 downloads
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Sturm, Bob

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf