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ISCApad Archive  »  2016  »  ISCApad #220  »  Journals  »  Special issue CSL on Recent advances in speaker and language recognition and characterization

ISCApad #220

Tuesday, October 11, 2016 by Chris Wellekens

7-15 Special issue CSL on Recent advances in speaker and language recognition and characterization
  

             Computer Speech and Language Special Issue on 
  Recent advances in speaker and language recognition and characterization

                            Call for Papers

            -----------------------------------------------
            SUBMISSION DEADLINE EXTENDED TO OCTOBER 9, 2016
            -----------------------------------------------

The goal of this special issue is to highlight the current state of research 
efforts on speaker and language recognition and characterization. New ideas
about features, models, tasks, datasets or benchmarks are growing making this
a particularly exciting time. 

In the last decade, speaker recognition (SR) has gained importance in the
field of speech science and technology, with new applications beyond forensics,
such as large-scale filtering of telephone calls, automated access through
voice profiles, speaker indexing and diarization, etc. Current challenges
involve the use of increasingly short signals to perform verification,
the need for algorithms that are robust to all kind of extrinsic variabilities,
such as noise and channel conditions, but allowing for a certain amount of
intrinsic variability (due to health issues, stress, etc.) and the development
of countermeasures against spoofing and tampering attacks. On the other hand,
language recognition (LR) has also witnessed a remarkable interest
from the community as an auxiliary technology for speech recognition,
dialogue systems and multimedia search engines, but specially for large-scale
filtering of telephone calls. An active area of research specific to LR is
dialect and accent identification. Other issues that must be dealt with
in LR tasks (such as short signals, channel and environment variability, etc.)
are basically the same as for SR.

The features, modeling approaches and algorithms used in SR and LR
are closely related, though not equally effective, since these two tasks
differ in several ways. In the last couple of years, and after
the success of Deep Learning in image and speech recognition,
the use of Deep Neural Networks both as feature extractors
and classifiers/regressors is opening new exciting research horizons. 

Until recently, speaker and language recognition technologies were mostly
driven by NIST evaluation campaigns: Speaker Recognition Evaluations (SRE)
and Language Recognition Evaluations (LRE), which focused on large-scale
verification of telephone speech. In the last years, other initiatives
(such as the 2008/2010/2012 Albayzin LRE, the 2013 SRE in Mobile Environment,
the RSR2015 database or the 2015 Multi-Genre Broadcast Challenge)
have widened the range of applications and the research focus.
Authors are encouraged to use these benchmarks to test their ideas.

This special issue aims to cover state-of-the-art works; however,
to provide readers with a state-of-the-art background on the topic, 
we will invite one survey paper, which will undergo peer review.
Topics of interest include, but are not limited to: 

o Speaker and language recognition, verification, identification
o Speaker and language characterization
o Features for speaker and language recognition
o Speaker and language clustering
o Multispeaker segmentation, detection, and diarization
o Language, dialect, and accent recognition
o Robustness in channels and environment
o System calibration and fusion
o Speaker recognition with speech recognition
o Multimodal speaker recognition
o Speaker recognition in multimedia content
o Machine learning for speaker and language recognition
o Confidence estimation for speaker and language recognition
o Corpora and tools for system development and evaluation
o Low-resource (lightly supervised) speaker and language recognition
o Speaker synthesis and transformation
o Human and human-assisted recognition of speaker and language
o Spoofing and tampering attacks: analysis and countermeasures
o Forensic and investigative speaker recognition
o Systems and applications

Note that all papers will go through the same rigorous review process
as regular papers, with a minimum of two reviewers per paper.
 
Guest Editors

Eduardo Lleida             University of Zaragoza, Spain
Luis J. Rodríguez-Fuentes  University of the Basque Country, Spain

Important dates

Submission deadline (EXTENDED!!!):    OCTOBER 9, 2016
Notifications of final decision:      March 31, 2017
Scheduled publication:                April, 2017


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