Automatic Acoustic Scene Classification

Autores

  • Gonçalo Caetano Marques ISEL
  • Thibault Langlois FCUL, Informatics Department, Lisbon, Portugal

DOI:

https://doi.org/10.34629/ipl.isel.i-ETC.35

Palavras-chave:

Machine Learning, Music Information Retrieval

Resumo

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.

Downloads

Publicado

2017-10-26

Edição

Vol. 3 N.º 1 (2017): The CETC2016 Issue (A)

Secção

CETC

Licença

Authors of articles published in the ISEL Academic Journal of Electronics, Telecommunications and Computers retain copyright of their work, licensing it under the Creative Commons Attribution-NonCommercial 3.0 Unported License. This license allows free download of the articles from the i-ETC website, as well as re-use and re-distribution without restriction, as long as the original work is properly cited and not used for commercial purposes.

http://creativecommons.org/licenses/by-nc/4.0/