Artificial sound mixes with event insertions

Contains artificial sound mixes and meta data that were created for the task of sound event detection. The mixes were created using background and event audio recordings from Tampere University's Detection and Classification of Acoustic Scenes and Events (DCASE) Community. More information on the source data can be found at 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) Created artificial sound mixes are 10 seconds long and contain: - background audio from diverse scenes from start to end - 0 to 4 event insertions With this formula, two datasets were created separately: a training, and an evaluation dataset. These were created separately so that the backgrounds and event recordings used for the evaluation dataset were not used in any of the training audio mixes. Thus, keeping them unseen by the system during development. Audio data: mixes_train.zip: Contains the audio mixes created for training. Audio format: .wav Count: 1000 tracks mixes_eval.zip: Contains the audio mixes created for evaluation. Audio format: .wav Count: 500 tracks Meta-data: Meta-data was maintained documenting the source background, the overlaid source events, and the time onset and offset of each sound event or confusing sound. meta_track_info_train.csv and meta_track_info_eval.csv columns: - trackID: the unique ID of a mix - class_dummy: whether a mix contain a glas break event (other events can be determined using meta_clip_insertions_train and meta_clip_insertions_eval) - background_file: the unique file reference used for background sound to the source data (i.e. DCASE original audio data set) - background_t0: the second in the original background sound recording in which the 10 second background starts. meta_clip_insertions_train.csv and meta_clip_insertions_eval.csv columns: - trackID: the unique ID of a mix - event: the type of event insertion - event_start: at which time in the mix the event start - event_end: at which time in the mix the event ends - event_file: the unique file_number of event reference to the source data (i.e. DCASE original audio data set) an event_file with value 345584_4.wav means the event comes from file 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 repository at https://github.com/reyvaz/sound-event-detection References: Diment, Aleksandr, Mesaros, Annamaria, Heittola, Toni, & Virtanen, Tuomas. (2017). TUT Rare sound events, Development dataset [Data set]. Zenodo. http://doi.org/10.5281/zenodo.401395 Aleksandr Diment, Annamaria Mesaros, Toni Heittola, & Tuomas Virtanen. (2018). TUT Rare sound events, Evaluation dataset [Data set]. Zenodo. http://doi.org/10.5281/zenodo.116045