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Open Broadcast Media Audio from TV (OpenBMAT)

Meléndez-Catalán, Blai; Molina, Emilio; Gómez, Emilia


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3381249", 
  "container_title": "Transactions of the International Society for Music Information Retrieval (TISMIR)", 
  "title": "Open Broadcast Media Audio from TV (OpenBMAT)", 
  "issued": {
    "date-parts": [
      [
        2019, 
        8, 
        28
      ]
    ]
  }, 
  "abstract": "<p>Open Broadcast Media Audio from TV (OpenBMAT) is an open, annotated dataset for the task of music detection that contains over 27 hours of TV broadcast audio from 4 countries distributed over 1647 one-minute long excerpts. It is designed to encompass several essential features for any music detection dataset and is the first one to include annotations about the loudness of music in relation to other simultaneous non-music sounds. OpenBMAT has been cross-annotated by 3 annotators obtaining high inter-annotator agreement percentages, which validates the annotation methodology and ensures the annotations reliability.</p>", 
  "author": [
    {
      "family": "Mel\u00e9ndez-Catal\u00e1n, Blai"
    }, 
    {
      "family": "Molina, Emilio"
    }, 
    {
      "family": "G\u00f3mez, Emilia"
    }
  ], 
  "page": "43-51", 
  "volume": "2", 
  "version": "1.0.0", 
  "type": "dataset", 
  "issue": "1", 
  "id": "3381249"
}
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