Dataset Open Access

MAESTRO Synthetic - Multi-Annotator Estimated Strong Labels

Irene Martin Morato; Manu Harju; Annamaria Mesaros


JSON-LD (schema.org) Export

{
  "description": "<p>The dataset was created for studying estimation of strong labels using crowdsourcing.</p>\n\n<p>It&nbsp;contains 20 synthetic audio files created using Scaper, the reference annotation created with Scaper, and the annotation outcome.&nbsp;Annotation was performed using Amazon Mechanical Turk.</p>\n\n<p>Audio files contain excerpts of recordings uploaded to freesound.org.(from Urban Sound 8k dataset).&nbsp;Please see FREESOUNDCREDITS.txt for an attribution list.&nbsp;</p>\n\n<p>The dataset contains:&nbsp;</p>\n\n<ul>\n\t<li>audio: the 20 synthetic soundscapes, each 3 min long</li>\n\t<li>ground truth:&nbsp; the &quot;true&quot; reference annotation created using Scaper</li>\n\t<li>estimated strong labels: the reference annotation created from the crowdsourced data</li>\n\t<li>audio tags: the weak labels corresponding to each 10 s segment of the soundscapes, as annotated</li>\n</ul>\n\n<p>For details on the annotation procedure and label processing methodology, see the following paper:</p>\n\n<p>Irene Martin&nbsp;Morato, Manu Harju, and Annamaria Mesaros.&nbsp;<em><a href=\"https://arxiv.org/abs/2107.12089\">Crowdsourcing strong labels for sound event detection</a>.</em>&nbsp;In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2021). New Paltz, NY, Oct 2021.</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "Tampere University", 
      "@id": "https://orcid.org/0000-0002-2115-0193", 
      "@type": "Person", 
      "name": "Irene Martin Morato"
    }, 
    {
      "affiliation": "Tampere University", 
      "@type": "Person", 
      "name": "Manu Harju"
    }, 
    {
      "affiliation": "Tampere University", 
      "@id": "https://orcid.org/0000-0002-6640-9752", 
      "@type": "Person", 
      "name": "Annamaria Mesaros"
    }
  ], 
  "url": "https://zenodo.org/record/5126478", 
  "datePublished": "2021-08-27", 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/a89c474f-a24b-45d8-a890-fce301d07448/audio.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/a89c474f-a24b-45d8-a890-fce301d07448/files_mapping.csv", 
      "encodingFormat": "csv", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/a89c474f-a24b-45d8-a890-fce301d07448/FREESOUNDCREDITS.txt", 
      "encodingFormat": "txt", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/a89c474f-a24b-45d8-a890-fce301d07448/LICENSE.txt", 
      "encodingFormat": "txt", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/a89c474f-a24b-45d8-a890-fce301d07448/meta.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/a89c474f-a24b-45d8-a890-fce301d07448/README.md", 
      "encodingFormat": "md", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.5126478", 
  "@id": "https://doi.org/10.5281/zenodo.5126478", 
  "@type": "Dataset", 
  "name": "MAESTRO Synthetic - Multi-Annotator Estimated Strong Labels"
}
12
22
views
downloads
All versions This version
Views 1212
Downloads 2222
Data volume 1.2 GB1.2 GB
Unique views 1111
Unique downloads 44

Share

Cite as