Automatic Acoustic Scene Classification

Gonçalo Caetano Marques, Thibault Langlois

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.

Keywords


Machine Learning, Music Information Retrieval

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Copyright (c) 2017 Gonçalo Caetano Marques

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