Appel: Special session Interspeech 2014, Speech technologies for Ambient Assisted Living

[Thierry Hamon]

Date: Mon, 17 Feb 2014 17:44:06 +0100
From: François Portet <Francois.Portet at imag.fr>
Message-ID: <53023C56.6040902 at imag.fr>
X-url: http://www.interspeech2014.org/public.php?page=special_sessions.html#speech-technologies-ambient


Dear colleagues,

Please find below the announcement of the Interspeech 2014 special 
session : Speech technologies for Ambient Assisted Living.

Special session at Interspeech 2014

Submission deadline: 24th March 2014

Singapore, 14-18 September 2014

http://www.interspeech2014.org/public.php?page=special_sessions.html#speech-technologies-ambient


This special session focuses on the use of speech technologies for
ambient assisted living, the creation of smart spaces and intelligent
companions that can preserve independence and executive function, social
communication and security of people with special needs.

Currently, speech input for assistive technologies remains underutilized
despite its potential to deliver highly informative data and serve as
the primary means of interaction with the home. Speech interfaces could
replace or augment obtrusive and sometimes outright inaccessible
conventional computer interfaces. Moreover, the smart home context can
support speech communication by providing a number of concurrent
information sources (e.g., wearable sensors, home automation sensors,
etc.), enabling multimodal communication. In practice, its use remains
limited due to challenging real-world conditions, and because
conventional speech interfaces can have difficulty with the atypical
speech of many users. This, in turn, can be attributed to the lack of
abundant speech material, and the limited adaptation to the user of
these systems.

Taking up the challenges of this domain requires a multidisciplinary
approach to define the user's needs, record corpora in realistic usage
conditions, develop speech interfaces that are robust to both
environment and user's characteristics and are able to adapt to specific
users.

This special session aims at bringing together researchers in speech and
audio technologies with people from the ambient assisted living and
assistive technologies communities to meet and foster awareness between
members of either community, discuss problems, techniques and datasets,
and perhaps initiate common projects.

Topics of the session will include:

     Assistive speech technology

     Applications of speech technology (ASR, dialogue, synthesis) for
     ambient assisted living

     Understanding, modelling, or recognition of aged and atypical
     speech

     Multimodal speech recognition (context-aware ASR)

     Multimodal emotion recognition

     Audio scene and smart space context analysis

     Assessment of speech and language processing within the context of
     assistive technology

     Speech synthesis and speech recognition for physical or cognitive
     impairments

     Symbol languages, sign languages, nonverbal communication

     Speech and NLP applied to typing interface applications

     Language modelling for Augmentative and Alternative Communication
     text entry and speech generating devices

     Deployment of speech and NLP tools in the clinic or in the field

     Linguistic resources; corpora and annotation schemes

     Evaluation of systems and components.

Submission instructions:

Researchers who are interested in contributing to this special session
are invited to submit a paper according to the regular submission
procedure of INTERSPEECH 2014, and to select "Speech technologies for
Ambient Assisted Living" in the special session field of the paper
submission form.

Please feel free to contact the organisers if you have any question
regarding the special session.

Organizers:

Michel Vacher michel.vacher [at] imag.fr Laboratoire d'Informatique de
Grenoble,

François Portet francois.portet [at] imag.fr Laboratoire d'Informatique
de Grenoble,

Frank Rudzicz frank [at] cs.toronto.edu University of Toronto,

Jort F. Gemmeke jgemmeke [at] amadana.nl KU Leuven,

Heidi Christensen h.christensen [at] dcs.shef.ac.uk University of
Sheffield,

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