Content Gazette - February 2016 - 10

CALL FOR PAPERS
IEEE/ACM Transactions on Audio, Speech and Language Processing
Special issue on Sound Scene and Event Analysis
It is still difficult for a machine listening system to demonstrate the same capabilities as human
listeners in the analysis of realistic acoustic scenes. Besides speech and music, the analysis of other
types of sounds, generally referred to as environmental sounds, is the subject of growing interest
from the community and is targeting an ever increasing set of audio categories. In realistic
environments, multiple sources are often present simultaneously, and in reverberant conditions,
which makes the computational scene analysis challenging.
Typical tasks on audio scene analysis are audio-based scene classification and audio event detection
and recognition targeting categories such as "door knocks", "gunshots", "crowds", "car engine
noise", as well as marine mammal and bird species, etc. The wide heterogeneity of possible sounds
means that novel types of signal processing and machine learning methods should be developed
including novel concepts for audio source segmentation and separation. Beyond recognizing sound
scenes and sources of interest, a key task of complex audio scene analysis is sound-source
localization.
Further, most of the methods developed until now are probably not tractable on big data so there is
also a need for new approaches that are, by design, efficient on large scale problems. Acquiring large
scale labelled databases is still problematic and such datasets are most likely collected on
heterogeneous sets of acoustic conditions (mobile phone recordings, urban/domestic audio,...) most
of which are usually offering a degraded version of the signal of interest with potential variable
annotation strategies. Therefore methods to tackle large scale problems also have to be robust against
signal degradation, acoustic variability, and annotation variability.
We invite papers on various topics on Sound Scene and Event Analysis, including but not limited to :
* Audio scene classification;
* Big data in environmental audio;
* Sound event detection and classification
* Environmental sound recognition;
* Large-scale environmental audio data sets;
* Computational auditory scene analysis;
* Acoustic features for environmental sound analysis;
* Source localization methods for environmental audio scene analysis
* Source separation for environmental audio scene analysis
The authors are required to follow the Author's Guide for manuscript submission to the IEEE
/ACM Transactions on Audio, Speech, and Language Processing at
http://www.signalprocessingsociety.org/publications/periodicals/taslp/taslp-author-information
Important Dates:
Manuscript submission due: July 1st, 2016
First review completed: Sept. 30th 2016
Revised manuscript due: October 20th, 2016
Second review completed: Dec. 1st, 2016
Final manuscript due: Dec. 31st, 2016
Publication date: February 2017
Guest Editors:
Gaël Richard, Télécom ParisTech, France (lead guest editor)
Tuomas Virtanen, Tampere University of Technology, Finland
Juan Pablo Bello, New York University, USA
Nobutaka Ono, National Institute of Informatics, Japan

www.signalprocessingsociety.org

[10]

FEBRUARY 2016


http://www.signalprocessingsociety.org/publications/periodicals/taslp/taslp-author-information http://www.signalprocessingsociety.org

Table of Contents for the Digital Edition of Content Gazette - February 2016

Content Gazette - February 2016 - Cover1
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Content Gazette - February 2016 - 1
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Content Gazette - February 2016 - Cover3
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