research data . Dataset . 2021

MAESTRO Synthetic - Multi-Annotator Estimated Strong Labels

Morato, Irene Martin; Harju, Manu; Mesaros, Annamaria;
Open Access
  • Published: 27 Aug 2021
  • Publisher: Zenodo
Abstract
The dataset was created for studying estimation of strong labels using crowdsourcing. It contains 20 synthetic audio files created using Scaper, the reference annotation created with Scaper, and the annotation outcome. Annotation was performed using Amazon Mechanical Turk. Audio files contain excerpts of recordings uploaded to freesound.org.(from Urban Sound 8k dataset). Please see FREESOUNDCREDITS.txt for an attribution list. The dataset contains: audio: the 20 synthetic soundscapes, each 3 min long ground truth: the "true" reference annotation created using Scaper estimated strong labels: the reference annotation created from the crowdsourced data audio tags: ...
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Open Access
Zenodo
Dataset . 2021
Provider: Datacite
Open Access
Zenodo
Dataset . 2021
Provider: Datacite
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