MATS - Multi-Annotator Tagged Soundscapes

This is a dataset containing audio tags for a number of 3930 audio files of the TAU Urban Acoustic Scenes 2019 development dataset (airport, public square, and park). The files were annotated using a web-based tool, with multiple annotators providing labels for each file. 

The dataset contains annotations for 3930 files, annotated with the following tags:

announcement jingle

announcement speech

adults talking

birds singing

children voices

dog barking

footsteps

music

siren

traffic noise

The annotation procedure and processing is presented in the paper:

Irene Martin-Morato, Annamaria Mesaros. What is the ground truth? Reliability of multi-annotator data for audio tagging, 29th European Signal Processing Conference, EUSIPCO 2021 

The dataset contains the following:

raw annotations provided by 133 annotators, multiple opinions per audio file

        MATS_labels_full_annotations.yaml 

        content formatted as: 

               - filename: file1.wav 
                 annotations:
                 - annotator_id: ann_1
                   tags:
                   - tag1
                   - tag2
                 - annotator_id: ann_3
                   tags:
                   - tag1
               - filename: file3.wav 
                ...

processed annotations using different methods, as presented in the accompanying paper

           MATS_labels_majority_vote.csv
           MATS_labels_union.csv
           MATS_labels_mace100.csv   
           MATS_labels_mace100_competence60

           content formatted as: 

           filename [tab] tag1,tag2,tag3

The audio files can be downloaded from https://zenodo.org/record/2589280 and are covered by their own license.