Speech Communication
Special Issue on *REALISM IN
ROBUST SPEECH AND LANGUAGE
PROCESSING*
*Deadline: May 31st, 2017* (For
further information see attached)
How can you be sure that your
research has actual impact in
real-world applications? This is one
of the major challenges currently
faced in many areas of speech
processing, with the migration of
laboratory solutions to real-world
applications, which is what we
address by the term "Realism". Real
application scenarios involve
several acoustic, speaker and
language variabilities which
challenge the robustness of systems.
As early evaluations in practical
targeted scenarios are hardly
feasible, many developments are
actually based on simulated data,
which leaves concerns for the
viability of these solutions in
real-world environments.
Information about which
conditions are required for a
dataset to be realistic and
experimental evidence about which
ones are actually important for the
evaluation of a certain task is
sparsely found in the literature.
Motivated by the growing importance
of robustness in commercial speech
and language processing
applications, this Special Issue
aims to provide a venue for research
advancements, recommendations for
best practices, and tutorial-like
papers about realism in robust
speech and language processing.
Prospective authors are invited
to submit original papers in areas
related to the problem of realism in
robust speech and language
processing, including: speech
enhancement, automatic speech,
speaker and language recognition,
language modeling, speech synthesis
and perception, affective speech
processing, paralinguistics, etc.
Contributions may include, but are
not limited to:
- Position papers from
researchers or practitioners for
best practice recommendations and
advice regarding different kinds of
real and simulated setups for a
given task
- Objective experimental
characterization of real scenarios
in terms of acoustic conditions
(reverberation, noise, sensor
variability, source/sensor movement,
environment change, etc)
- Objective experimental
characterization of real scenarios
in terms of speech characteristics
(spontaneous speech, number of
speakers, vocal effort, effect of
age, non-neutral speech, etc)
- Objective experimental
characterization of real scenarios
in terms of language variability
- Real data collection
protocols
- Data simulation algorithms
- New datasets suitable for
research on robust speech processing
- Performance comparison on
real vs. simulated datasets for a
given task and a range of methods
- Analysis of advantages vs.
weaknesses of simulated and/or real
data, and techniques for addressing
these weaknesses
Papers written by practitioners
and industry researchers are
especially welcomed. If there is any
doubt about the suitability of your
paper for this special issue, please
contact us before submission.
*Submission instructions: *
Manuscript submissions shall be
made through EVISE at https://www.evise.com/profile/#/SPECOM/login
Select article type "SI:Realism
Speech Processing"
*Important dates: *
March 1, 2017: Submission portal
open
May 31, 2017: Paper submission
September 30, 2017: First review
November 30, 2017: Revised
submission
April 30, 2018: Completion of
revision process
*Guest Editors: *
Dayana Ribas, CENATAV, Cuba
Emmanuel Vincent, Inria, France
John Hansen, UTDallas, USA
