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
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the 24th Int. Society for Music Information Retrieval Conference |
| Seitenumfang | 9 |
| Publikationsstatus | Veröffentlicht - Nov. 2023 |
Wissenschaftszweige
- 202002 Audiovisuelle Medien
- 102 Informatik
- 102001 Artificial Intelligence
- 102003 Bildverarbeitung
- 102015 Informationssysteme
JKU-Schwerpunkte
- Digital Transformation
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