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Label Tree Embeddings for Acoustic Scene Classification

Phan, Huy, Hertel, Lars, Maass, Marco, Koch, Philipp, Mertins, Alfred (2016) Label Tree Embeddings for Acoustic Scene Classification. In: Proceedings of the 24th ACM international conference on Multimedia. . pp. 486-490. ACM, Amsterdam, The Netherlands ISBN 978-1-4503-3603-1. (doi:10.1145/2964284.2967268)

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http://dx.doi.org/10.1145/2964284.2967268

Abstract

We present in this paper an efficient approach for acoustic scene classification by exploring the structure of class labels. Given a set of class labels, a category taxonomy is automatically learned by collectively optimizing a clustering of the labels into multiple meta-classes in a tree structure. An acoustic scene instance is then embedded into a low-dimensional feature representation which consists of the likelihoods that it belongs to the meta-classes. We demonstrate state-of-the-art results on two different datasets for the acoustic scene classification task, including the DCASE 2013 and LITIS Rouen datasets.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1145/2964284.2967268
Divisions: Faculties > Sciences > School of Computing
Depositing User: Huy Phan
Date Deposited: 25 Feb 2019 16:16 UTC
Last Modified: 03 Jun 2019 09:28 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/72682 (The current URI for this page, for reference purposes)
Phan, Huy: https://orcid.org/0000-0003-4096-785X
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