Artificial sound mixes with event insertions

<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, &amp; 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, &amp; Tuomas Virtanen. (2018).<br> TUT Rare sound events, Evaluation dataset [Data set]. Zenodo.<br> http://doi.org/10.5281/zenodo.1160455<br>