This dataset contains 8732 labeled melspectrogram images of urban sounds from 10 classes: air_conditioner, car_horn, children_playing, dog_bark, drilling, enginge_idling, gun_shot, jackhammer, siren, and street_music.

The files are pre-sorted into ten folds (folders named fold1-fold10) to help in the reproduction of and comparison with the automatic classification results reported in the article above.

In addition to the sound excerpts, a CSV file containing metadata about each excerpt is also provided.

You can see this Github Link: https://github.com/pranavgupta2603/UrbanSound8k-MelSpectrogram to find more about how the audio excerpts were converted to melspectrogram images.

META DATA FILES INCLUDED

UrbanSound8k.csv

This file contains meta-data information about every audio file in the dataset. This includes:

slice_file_name: The name of the png file. The name takes the following format: [fsID]-[classID]-[occurrenceID]-[sliceID].png, where: [fsID] = the Freesound ID of the recording from which this excerpt (slice) is taken [classID] = a numeric identifier of the sound class (see description of classID below for further details) [occurrenceID] = a numeric identifier to distinguish different occurrences of the sound within the original recording [sliceID] = a numeric identifier to distinguish different slices taken from the same occurrence

fsID: The Freesound ID of the recording from which this excerpt (slice) is taken

start The start time of the slice in the original Freesound recording

end: The end time of slice in the original Freesound recording

salience: A (subjective) salience rating of the sound. 1 = foreground, 2 = background.

fold: The fold number (1-10) to which this file has been allocated.

classID: A numeric identifier of the sound class: 0 = air_conditioner 1 = car_horn 2 = children_playing 3 = dog_bark 4 = drilling 5 = engine_idling 6 = gun_shot 7 = jackhammer 8 = siren 9 = street_music

class: The class name: air_conditioner, car_horn, children_playing, dog_bark, drilling, engine_idling, gun_shot, jackhammer, siren, street_music.