MSoS_challenge_2018_Development_v1-00.zip (452.31 MB)

Making Sense Of Sounds: Data for the machine learning challenge 2018

Name: Making Sense Of Sounds: Data for the machine learning challenge 2018
Published: 2018-08-08T09:57:56+00:00
License: https://creativecommons.org/licenses/by-nc/4.0/
Keywords: Audio Signal Analysis Audio information, sound categories, Machine Hearing, classification algorithms, audio, sound detection algorithms, sound features, Acoustics, Knowledge Representation and Machine Learning, Acoustics and Noise Control (excl. Architectural Acoustics)

Version 4 2018-11-29, 08:34

Version 3 2018-11-26, 08:36

Version 2 2018-10-01, 12:18

Version 1 2018-08-08, 09:57

dataset

posted on 2018-08-08, 09:57 authored by Lara HarrisLara Harris, Oliver Charles Bones

This is the development dataset for the Making Sense Of Sounds challenge 2018. The download contains the following:

* Folder 'Development' with 1500 audio files, divided equally into five category subfolders: Music, Human, Nature, Effects, and Urban.

* Spreadsheet 'Logsheet_Development.csv, a listing of every file, plus their category, and event type.

It should be assumed that all files in this challenge are provided under the licence CC-BY-NC 4.0 (Creative Commons, Attribution Noncommercial¹). This is the most restrictive licence of any file in the dataset, though some were also provided under CC0² and CC-BY³. A complete listing of the exact licences and author attributions will be released at the close of the challenge. Attribution information is being withheld until then to prevent the gathering of any classification data based on the original file names.

See the challenge home page for full details about the dataset, and rules for taking part:

http://cvssp.org/projects/making_sense_of_sounds/site/challenge

References:

1) https://creativecommons.org/licenses/by-nc/4.0/

2) https://creativecommons.org/publicdomain/zero/1.0/

3) https://creativecommons.org/licenses/by/4.0/