University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Detection of overlapping acoustic events using a temporally-constrained probabilistic model

BENETOS, E, Lafay, G, Lagrange, M and Plumbley, MD (2016) Detection of overlapping acoustic events using a temporally-constrained probabilistic model In: ICASSP 2016, 2016-03-20 - 2016-03-25, Shanghai, China.

[img]
Preview
Text
BenetosLafayLagrangeP16-icassp.pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (149kB) | Preview
[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

In this paper, a system for overlapping acoustic event detection is proposed, which models the temporal evolution of sound events. The system is based on probabilistic latent component analysis, supporting the use of a sound event dictionary where each exemplar consists of a succession of spectral templates. The temporal succession of the templates is controlled through event class-wise Hidden Markov Models (HMMs). As input time/frequency representation, the Equivalent Rectangular Bandwidth (ERB) spectrogram is used. Experiments are carried out on polyphonic datasets of office sounds generated using an acoustic scene simulator, as well as real and synthesized monophonic datasets for comparative purposes. Results show that the proposed system outperforms several state-of-the-art methods for overlapping acoustic event detection on the same task, using both frame-based and event-based metrics, and is robust to varying event density and noise levels.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : subj_Electronic_Engineering
Authors :
AuthorsEmailORCID
BENETOS, EUNSPECIFIEDUNSPECIFIED
Lafay, GUNSPECIFIEDUNSPECIFIED
Lagrange, MUNSPECIFIEDUNSPECIFIED
Plumbley, MDUNSPECIFIEDUNSPECIFIED
Date : 25 March 2016
Copyright Disclaimer : (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Index Terms— Acoustic event detection, probabilistic latent component analysis, hidden Markov models
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 13 May 2016 11:03
Last Modified : 13 May 2016 11:03
URI: http://epubs.surrey.ac.uk/id/eprint/810695

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800