Dataset Restricted Access

Open Broadcast Media Audio from TV (OpenBMAT)

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


Citation Style Language JSON Export

{
  "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"
}
399
39
views
downloads
All versions This version
Views 399399
Downloads 3939
Data volume 144.1 GB144.1 GB
Unique views 319319
Unique downloads 3030

Share

Cite as