ieeexplore.ieee.org/document/6847693

Preview meta tags from the ieeexplore.ieee.org website.

Linked Hostnames

2

Thumbnail

Search Engine Appearance

Google

https://ieeexplore.ieee.org/document/6847693

A Simple Method to Determine if a Music Information Retrieval System is a “Horse”

We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM comes from the system using characteristics confounded with the “ground truth” of the dataset. Akin to the controlled experiments designed to test the supposed mathematical ability of the famous horse “Clever Hans,” we perform two experiments to show how three state-of-the-art MIR systems produce excellent FoM in spite of not using musical knowledge. This provides avenues for improving MIR systems, as well as their evaluation. We make available a reproducible research package so that others can apply the same method to evaluating other MIR systems.



Bing

A Simple Method to Determine if a Music Information Retrieval System is a “Horse”

https://ieeexplore.ieee.org/document/6847693

We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM comes from the system using characteristics confounded with the “ground truth” of the dataset. Akin to the controlled experiments designed to test the supposed mathematical ability of the famous horse “Clever Hans,” we perform two experiments to show how three state-of-the-art MIR systems produce excellent FoM in spite of not using musical knowledge. This provides avenues for improving MIR systems, as well as their evaluation. We make available a reproducible research package so that others can apply the same method to evaluating other MIR systems.



DuckDuckGo

https://ieeexplore.ieee.org/document/6847693

A Simple Method to Determine if a Music Information Retrieval System is a “Horse”

We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM comes from the system using characteristics confounded with the “ground truth” of the dataset. Akin to the controlled experiments designed to test the supposed mathematical ability of the famous horse “Clever Hans,” we perform two experiments to show how three state-of-the-art MIR systems produce excellent FoM in spite of not using musical knowledge. This provides avenues for improving MIR systems, as well as their evaluation. We make available a reproducible research package so that others can apply the same method to evaluating other MIR systems.

  • General Meta Tags

    12
    • title
      A Simple Method to Determine if a Music Information Retrieval System is a “Horse” | IEEE Journals & Magazine | IEEE Xplore
    • google-site-verification
      qibYCgIKpiVF_VVjPYutgStwKn-0-KBB6Gw4Fc57FZg
    • Description
      We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music information retrieval (MIR) system evaluated in a dataset, specifical
    • Content-Type
      text/html; charset=utf-8
    • viewport
      width=device-width, initial-scale=1.0
  • Open Graph Meta Tags

    3
    • og:image
      https://ieeexplore.ieee.org/assets/img/ieee_logo_smedia_200X200.png
    • og:title
      A Simple Method to Determine if a Music Information Retrieval System is a “Horse”
    • og:description
      We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM comes from the system using characteristics confounded with the “ground truth” of the dataset. Akin to the controlled experiments designed to test the supposed mathematical ability of the famous horse “Clever Hans,” we perform two experiments to show how three state-of-the-art MIR systems produce excellent FoM in spite of not using musical knowledge. This provides avenues for improving MIR systems, as well as their evaluation. We make available a reproducible research package so that others can apply the same method to evaluating other MIR systems.
  • Twitter Meta Tags

    1
    • twitter:card
      summary
  • Link Tags

    9
    • canonical
      https://ieeexplore.ieee.org/document/6847693
    • icon
      /assets/img/favicon.ico
    • stylesheet
      https://ieeexplore.ieee.org/assets/css/osano-cookie-consent-xplore.css
    • stylesheet
      /assets/css/simplePassMeter.min.css?cv=20250812_00000
    • stylesheet
      /assets/dist/ng-new/styles.css?cv=20250812_00000

Links

17