Skip to main content

Exploring Superframe Co-occurrence for Acoustic Event Recognition

Phan, Huy, Mertins, Alfred (2014) Exploring Superframe Co-occurrence for Acoustic Event Recognition. In: 22nd European Signal Processing Conference (EUSIPCO 2014). . pp. 631-635. IEEE, Lisbon, Portugal ISBN 978-0-9928626-1-9.

PDF - Author's Accepted Manuscript
Download (175kB) Preview
[img]
Preview
Official URL
https://ieeexplore.ieee.org/document/6952185

Abstract

We introduce in this paper a concept of using acoustic superframes, a mid-level representation which can overcome the drawbacks of both global and simple frame-level representations for acoustic events. Through superframe-level recognition, we explore the phenomenon of superframe co-occurrence across different event categories and propose an efficient classification scheme that takes advantage of this feature sharing to improve the event-wise recognition power. We empirically show that our recognition system results in 2.7% classification error rate on the ITC-Irst database. This state-of-the-art performance demonstrates the efficiency of this proposed approach. Furthermore, we argue that this presentation can pretty much facilitate the event detection task compared to its counterparts, e.g. global and simple frame-level representations.

Item Type: Conference or workshop item (Proceeding)
Uncontrolled keywords: Acoustic event recognition, superframe, histogram, co-occurrence
Divisions: Faculties > Sciences > School of Computing
Depositing User: Huy Phan
Date Deposited: 25 Feb 2019 17:13 UTC
Last Modified: 03 Jun 2019 09:28 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/72694 (The current URI for this page, for reference purposes)
Phan, Huy: https://orcid.org/0000-0003-4096-785X
  • Depositors only (login required):

Downloads

Downloads per month over past year