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Automatic Acoustic Scene Classification


 
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1. Title Title of document Automatic Acoustic Scene Classification
 
2. Creator Author's name, affiliation, country Gonçalo Caetano Marques; ISEL; Portugal
 
2. Creator Author's name, affiliation, country Thibault Langlois; FCUL, Informatics Department, Lisbon, Portugal
 
3. Subject Discipline(s) Multimedia
 
3. Subject Keyword(s) Machine Learning, Music Information Retrieval
 
4. Description Abstract This paper presents a baseline system for automatic acoustic scene classification based on the audio signals alone. The proposed method  is derived from classic, content-based, music classification approaches, and consists in a feature extraction phase followed by two dimensionality reduction steps (PCA and LDA) and a classification phase done using a k nearest-neighbors algorithm.

This paper also reports on how our system performed  in the context of the DCASE 2016 challenge, for the acoustic scene classification task.
 
5. Publisher Organizing agency, location ISEL - High Institute of Engineering of Lisbon
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2017-10-26
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://journals.isel.pt:80/index.php/i-ETC/article/view/35
 
11. Source Title; vol., no. (year) i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 3, No 1 (2017): The CETC2016 Issue (A)
 
12. Language English=en en
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2017 Gonçalo Caetano Marques
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.