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Automatic Acoustic Scene Classification

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Summary: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.
Main Authors:Marques, Gonçalo Caetano
Other Authors:Langlois, Thibault
Subject:Machine Learning Music Information Retrieval
Year:2017
Country:Portugal
Document type:article
Access type:unknown
Associated institution:Instituto Superior de Engenharia de Lisboa
Language:English
Origin:i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers

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