This dataset contains 1302 labeled sound recordings. Each recording is labeled with the start and end times of sound events from 10 classes: air_conditioner, car_horn, children_playing, dog_bark, drilling, enginge_idling, gun_shot, jackhammer, siren, and street_music. Each recording may contain multiple sound events, but for each file only events from a single class are labeled. The classes are drawn from the urban sound taxonomy.
The dataset can be downloaded from here: https://urbansounddataset.weebly.com/urbansound.html
For our experiment we will use the python library - librosa - to extract features from the sound files and then use 1D CNNs to classify the sounds.