Abstract
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 [1]. 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
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 24th Int. Society for Music Information Retrieval Conference |
| Number of pages | 9 |
| Publication status | Published - Nov 2023 |
Fields of science
- 202002 Audiovisual media
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
JKU Focus areas
- Digital Transformation
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