DOI: 10.5281/zenodo.3236974
title: Artificial sound mixes with event insertions

description: <strong>Contains artificial sound mixes and meta data that were created for the task of<br>
sound event detection.</strong>

The mixes were created using background and event audio recordings<br>
from Tampere University's Detection and Classification of Acoustic Scenes and<br>
Events (DCASE) Community. More information on the source data can be found at<br>
http://www.cs.tut.fi/sgn/arg/dcase2017/challenge/task-rare-sound-event-detection#audio-dataset.

Source data credits: Diment, Aleksandr et al (2017, 2018)

<strong>Created artificial sound mixes are 10 seconds long and contain:</strong>

- background audio from diverse scenes from start to end<br>
- 0 to 4 event insertions

With this formula, two datasets were created separately: a training, and an<br>
evaluation dataset. These were created separately so that the backgrounds and<br>
event recordings used for the evaluation dataset were not used in any of the<br>
training audio mixes. Thus, keeping them unseen by the system during development.

<strong>Audio data:</strong><br>
<strong>mixes_train.zip</strong>: Contains the audio mixes created for training.<br>
                 Audio format: .wav<br>
                 Count: 1000 tracks

<strong>mixes_eval.zip</strong>: Contains the audio mixes created for evaluation.<br>
                Audio format: .wav<br>
                Count: 500 tracks

<strong>Meta-data:</strong><br>
Meta-data was maintained documenting the source background, the overlaid source<br>
events, and the time onset and offset of each sound event or confusing sound.

<strong>meta_track_info_train.csv and meta_track_info_eval.csv columns:</strong>

- trackID: the unique ID of a mix<br>
- class_dummy: whether a mix contain a glas break event (other events can be<br>
  determined using meta_clip_insertions_train and meta_clip_insertions_eval)<br>
- background_file: the unique file reference used for background sound to the<br>
  source data (i.e. DCASE original audio data set)<br>
- background_t0: the second in the original background sound recording in which<br>
  the 10 second background starts.

<strong>meta_clip_insertions_train.csv and meta_clip_insertions_eval.csv columns:</strong>

- trackID: the unique ID of a mix<br>
- event: the type of event insertion<br>
- event_start: at which time in the mix the event start<br>
- event_end: at which time in the mix the event ends<br>
- event_file: the unique file_number of event reference to the<br>
  source data (i.e. DCASE original audio data set)<br>
  an event_file with value 345584_4.wav means the event comes from file<br>
  345584.wav in the DCASE audio set and is the 4th event in that audio file.

To see the project for which this data set was created visit the github<br>
repository at https://github.com/reyvaz/sound-event-detection

<strong>References:</strong><br>
Diment, Aleksandr, Mesaros, Annamaria, Heittola, Toni, & Virtanen, Tuomas. (2017).<br>
TUT Rare sound events, Development dataset [Data set]. Zenodo.<br>
http://doi.org/10.5281/zenodo.401395

Aleksandr Diment, Annamaria Mesaros, Toni Heittola, & Tuomas Virtanen. (2018).<br>
TUT Rare sound events, Evaluation dataset [Data set]. Zenodo.<br>
http://doi.org/10.5281/zenodo.1160455<br>