You are not logged in.
Openly accessible

Distributed audio network for speech enhancement in challenging noise backgrounds

Kuhnapfel, Thorsten, Tan, Tele, Venkatesh, Svetha and Igel, Burkhard 2009, Distributed audio network for speech enhancement in challenging noise backgrounds, in AVSS 2009 : Proceedings of the 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, IEEE, Washington, D. C., pp. 308-313.

Attached Files
Name Description MIMEType Size Downloads
venkatesh-distributedaudio-2009.pdf Published version application/pdf 565.23KB 51

Title Distributed audio network for speech enhancement in challenging noise backgrounds
Author(s) Kuhnapfel, Thorsten
Tan, Tele
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Igel, Burkhard
Conference name IEEE International Conference on Advanced Video and Signal Based Surveillance (6th : 2009 : Genoa, Italy)
Conference location Genoa, Italy
Conference dates 2-4 Sep. 2009
Title of proceedings AVSS 2009 : Proceedings of the 6th IEEE International Conference on Advanced Video and Signal Based Surveillance
Editor(s) [Unknown]
Publication date 2009
Conference series IEEE International Conference on Advanced Video and Signal Based Surveillance
Start page 308
End page 313
Total pages 6
Publisher IEEE
Place of publication Washington, D. C.
Keyword(s) audio
spectral subtraction
Summary This paper presents a new approach to enhance speech based on a distributed microphone network. Each microphone is used to simultaneously classify the input into either one of the noise types or as speech. For enhancing the speech signal a modified spectral subtraction approach is used that utilise the sound information of the entire network to update the noise model even during speech. This improves the reduction of the ambient noise, especially for non-stationary noise types such as street or beach noise. Experiments demonstrate the effectiveness of the proposed system.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 1424447550
9781424447558
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044564

Document type: Conference Paper
Collections: School of Information Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 239 Abstract Views, 51 File Downloads  -  Detailed Statistics
Created: Fri, 20 Apr 2012, 11:32:31 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.