Dataset Restricted Access

Open Broadcast Media Audio from TV (OpenBMAT)

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


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  "metadata": {
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    "doi": "10.5281/zenodo.3381249", 
    "description": "<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>", 
    "title": "Open Broadcast Media Audio from TV (OpenBMAT)", 
    "journal": {
      "volume": "2", 
      "issue": "1", 
      "pages": "43-51", 
      "title": "Transactions of the International Society for Music Information Retrieval (TISMIR)"
    }, 
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    "access_conditions": "<p><strong>Disclaimer</strong></p>\n\n<p><br>\nUniversitat Pompeu Fabra bears no responsibility for the uses of the OpenBMAT Dataset, or for<br>\ninterpretations or inferences based on these uses. Universitat Pompeu Fabra accepts no liability for<br>\nindirect, consequential or incidental damages or losses arising from use of the OpenBMAT Dataset,<br>\nor from the unavailability of, or break in access to the Dataset for whatever reason.</p>\n\n<p><br>\nUniversitat Pompeu Fabra does not accept any responsibility or liability for data or material<br>\ncontained on third party sites that reference the information on OpenBMAT Dataset or for the use<br>\nany person makes of such third party information. Universitat Pompeu Fabra does not monitor<br>\nthese third party information and makes no representations in relation to the quality or accuracy<br>\nof the information on third party websites or Data Bases.</p>\n\n<p>&nbsp;</p>\n\n<p><strong>Use</strong></p>\n\n<p><br>\nThe data is available for its use and downloadable only for non-profit purposes.</p>\n\n<p>&nbsp;</p>\n\n<p><strong>Confidentiality</strong></p>\n\n<p><br>\nAccording to Data Protection Rules only anonymous data are available to users. Each user is<br>\nresponsible and liable before third Parties to avoid the use of personal data in the OpenBMAT<br>\nDataset, to undertake the necessary measures to ensure anonymity of the data and to foresee<br>\nthat anonymity is also maintained after merging of data files.</p>\n\n<p>&nbsp;</p>\n\n<p>Note: Please include, in the justification field, your academic affiliation (if you have one) and a brief description of your research topics and why you would like to use this dataset. If you do not include this information we may not approve your request.</p>", 
    "version": "1.0.0", 
    "keywords": [
      "dataset", 
      "music detection", 
      "relative music loudness estimation", 
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    "publication_date": "2019-08-28", 
    "creators": [
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        "orcid": "0000-0001-6140-3389", 
        "affiliation": "Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain / BMAT Licensing S.L., Barcelona, Spain", 
        "name": "Mel\u00e9ndez-Catal\u00e1n, Blai"
      }, 
      {
        "orcid": "0000-0001-8251-9911", 
        "affiliation": "BMAT Licensing S.L., Barcelona, Spain", 
        "name": "Molina, Emilio"
      }, 
      {
        "orcid": "0000-0003-4983-3989", 
        "affiliation": "Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain / Joint Research Centre, European Comission", 
        "name": "G\u00f3mez, Emilia"
      }
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Views 411411
Downloads 3939
Data volume 144.1 GB144.1 GB
Unique views 331331
Unique downloads 3030

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