Learning from YouTube
Abstract
In Learning from YouTube, Dockray uses the form of an explanatory YouTube video to introduce the reader to Audio Set, an experimental project instigated by Google’s ‘Sound Understanding Team’. Audio Set is a collection of more than two million short sound clips extracted from YouTube videos that are used as data for training Google’s “deep learning systems” to label hundreds or thousands of different sound events in real-world recordings just as human listeners can recognize and relate the sounds they hear.
Article Details
- How to Cite
-
Dockray, S. (2024). Learning from YouTube. Αutomaton: Journal of Digital Media and Culture, 3(1), 28–36. https://doi.org/10.12681/automaton.38844
- Section
- Articles
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors wishing to publish articles in this journal agree to the following terms:
1. The Authors retain the Copyright and grant the journal the right of first publication while at the same time the copyright of the work is protected under the Creative Commons Attribution License which allows third party licensees to use the work as they wish provided they acknowledge the work's authorship and initial publication in this journal.
2. Authors may enter into separate additional contractual arrangements for the non-exclusive distribution of the published journal version of the work (for example, posting it to an institutional repository or publishing it in a book), with acknowledgment of its initial publication in this journal.
3. Authors are allowed and encouraged to post their work online before and during the submission process (e.g. on their website) as this can lead to productive exchanges as well as earlier and more citations of published work (See The Effect of Open Access).