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ISCApad Archive  »  2013  »  ISCApad #186  »  Journals

ISCApad #186

Tuesday, December 10, 2013 by Chris Wellekens

7 Journals
7-1Multimedia Tools and Applications, Journal, Springer Special Issue on 'Content Based Multimedia Indexing'
Multimedia Tools and Applications, Journal, Springer Special Issue on 'Content Based Multimedia Indexing'  http://cbmi2013.mik.uni-pannon.hu/index.php/cfp ============================================================
Multimedia indexing systems aim at providing easy, fast and accurate access to large multimedia repositories. Research in Content-Based Multimedia Indexing covers a wide spectrum of topics in content analysis, content description, content adaptation and content retrieval. Various tools and techniques from different fields such as Data Indexing, Machine Learning, Pattern Recognition, and Human Computer Interaction have contributed to the success of multimedia systems. Although, there has been a significant progress in the field, we still face situations when the system shows limits in accuracy, generality and scalability. Hence, the goal of this special issue is to bring forward the recent advancements in content-based multimedia indexing.
Topics of Interest ================== Topics of interest for the Special Issue include, but are not limited to: - Audio content extraction - Audio indexing (audio, speech, music) - Content-based search - Identification and tracking of semantic regions - Identification of semantic events - Large scale multimedia database management - Matching and similarity search - Metadata generation, coding and transformation, multi-modal fusion - Multimedia data mining - Multimedia interfaces, presentation and visualization tools - Multimedia recommendation - Multimedia retrieval (image, audio, video, ...) - Multi-modal and cross-modal indexing - Personalization and content adaptation - Summarization, browsing and organization of multimedia content - User interaction and relevance feedback - Visual content extraction - Visual indexing (image, video, graphics)
Submission Details ================== All the papers should be full journal length versions and follow the guidelines set out by Multimedia Tools and Applications: http://www.springer.com/computer/information+systems/journal/11042. Manuscripts should be submitted online athttps://www.editorialmanager.com/mtap/ choosing 'Content Based Multimedia Indexing' as article type, no later than September 1st, 2013. When uploading your paper, please ensure that your manuscript is marked as being for this special issue. Information about the manuscript (title, full list of authors, corresponding author’s contact, abstract, and keywords) should also be sent to the corresponding editor Klaus Schoeffmann (ks@itec.uni-klu.ac.at). All the papers will be peer-reviewed following the MTAP reviewing procedures.
Important Dates =============== Manuscript due: September 22nd, 2013 (extended)Notification: October 22nd, 2013 Publication date: First quarter 2014
Guest Editors ============= Klaus Schoeffmann, Klagenfurt University, Klagenfurt, Austria ks@itec.uni-klu.ac.at Tamás Szirányi, MTA SZTAKI, Budapest, Hungary sziranyi@sztaki.hu Jenny Benois-Pineau, University of Bordeaux 1, LABRI UMR 5800 Universities-Bordeaux-CNRS, France Jenny.benois@labri.fr Bernard Merialdo, EURECOM, Nice – Sophia Antipolis, France Bernard.Merialdo@eurecom.fr
 
 
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7-2EURASIP Journal: Special Issue on Atypical Speech & Voices: Corpora, Classification, Coaching & Conversion
EURASIP Journal on Audio, Speech, and Music Processing
 
Special Issue on Atypical Speech & Voices: Corpora, Classification, Coaching & Conversion
 
 
 
With speech processing technology becoming more and more present in our every-day lives, it has become increasingly important to include all types of voices, speaking situations, and styles from all parts of our society, i.e., to move beyond the 'typical'.
Examples of such less typical patterns may include speaking while eating, during physical exercise, singing, as well as a wide range of pathological effects or speech generated by special aged groups (children, elderly).
 
In fact, recent advances in the field of Computational Paralinguistics allow for automatic recognition, analysis, and synthesis of an ever-increasing range of 'atypical' phenomena. At the same time, deeper analysis methods have opened doors to new assistive technologies, such as coaching systems, serious games, and tutoring systems, as well as diagnostic aids (e.g., for early detection of autism spectrum disorders, Alzheimer's or Parkinson's diseases). Tutoring systems, for example, have opened up new opportunities for voice professionals, such as public speakers, singers, and teachers, providing them with feedback on prosodic aspects, vibrato parameters, 'presence' or quality. Further, methods of speech/voice enhancement and conversion have enabled improvements in intelligibility of spoken content, as well as socio-emotional communication skills of e.g., speakers on the autism spectrum.
 
In this light and given the steadily growing research activities and their importance, we openly invite papers describing various aspects of analysis and synthesis of atypical speech and voices as well as their successful applications.
Submissions must not have been previously published and must have specific connection to audio, speech, and music processing.
 
The topics of particular interest will include, but are not limited to:
 
- Automatic Recognition of Atypical Speech & Voice Patterns
- Analysis of Atypical Speech, Singing & Voices
- Robustness in Automatic Speech Recognition against Atypical Phenomena
- Synthesis of Atypical Speech, Singing & Voices
- Enhancement and Conversion for Intelligibility Improvement of Atypical Speech & Voices
- Resources of Atypical Speech, Singing or Voice Patterns
- Multimodal Integration for Atypical Speech & Voice Processing (e.g., videolaryngoscopy, videokymography, fMRI, etc.)
- Tutoring Systems for Atypical Speech & Voice
- Serious Gaming Approaches in Atypical Speech & Voices
- Relationship Between Atypical Speech & Voices and Neurological Conditions
 
Submission Instructions:
 
Before submission authors should carefully read over the Instructions for Authors, which are located at asmp.eurasipjournals.com/authors/instructions. Prospective authors should submit an electronic copy of their complete manuscript through the SpringerOpen submission system at asmp.eurasipjournals.com/manuscript according to the submission schedule. They should choose the correct Special Issue in the 'sections' box upon submitting. In addition, they should specify the manuscript as a submission to the 'Special Issue on Atypical Speech & Voices' in the cover letter. All submissions will undergo initial screening by the Guest Editors for fit to the theme of the Special Issue and prospects for successfully negotiating the review process.
 
Guest Editors
 
Björn W. Schuller, Imperial College London, London, U.K. & TUM, Munich, Germany Email >bjoern.schuller@imperial.ac.uk
 
Tiago H. Falk, INRS-EMT, Montreal, Canada Email > falk@inrs.emt.ca
 
Vijay Parsa, University of Western Canada, London, Canada Email > parsa@nca.uwo.ca
 
Elmar Nöth, FAU Erlangen-Nuremberg, Germany & King Abdulaziz University, Jeddah, Saudi Arabia Email >noeth@cs.fau.de
 
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7-3Eurasip journal: Special issue on Models of Speech-In search of better representations
Manuscript due: Nov. 1, 2013  
Journal: EURASIP Journal on Audio, Speech, and Music Processing Description: 
This special issue originates from a special session at the international conference Interspeech,
 which was held in September 2010 at Chiba, Japan. It will publish some key contributions 
presented at the conference describing different aspects of models of speech, from the analyisis 
or representation point of view. Topics of interest include: 
* Hidden Markov Models 
* Kernel Methods 
* Deep Neural Networks 
* Linear Predicitve Analysis 
Lead Guest Editor: 
* Hansjörg Mixdorff, Beuth University, Berlin, Germany Guest Editor: 
* Hideki Kawahara, Wakayama University, Wakayama, Japan 
For more information about this special issue, 
please visit: http://si.eurasip.org/issues/14/models-of-speech-in-search-of-better/
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7-4Eurasip Journal:CfP Special issue on Atypical Speech & Voices: Corpora, Classification, Coaching & Conversion
Manuscript due: Feb. 1, 2014 Journal: EURASIP Journal on Audio, Speech, and Music Processing Description: With speech processing technology becoming more and more present in our every-day lives, it has become increasingly important to include all types of voices, speaking situations, and styles from all parts of our society, i.e., to move beyond the “typical”. Examples of such less typical patterns may include speaking while eating, during physical exercise, singing, as well as a wide range of pathological effects or speech generated by special aged groups (children, elderly). In fact, recent advances in the field of Computational Paralinguistics allow for automatic recognition, analysis, and synthesis of an ever-increasing range of “atypical” phenomena. At the same time, deeper analysis methods have opened doors to new assistive technologies, such as coaching systems, serious games, and tutoring systems, as well as diagnostic aids (e.g., for early detection of autism spectrum disorders, Alzheimer’s or Parkinson’s diseases). Tutoring systems, for example, have opened up new opportunities for voice professionals, such as public speakers, singers, and teachers, providing them with feedback on prosodic aspects, vibrato parameters, “presence” or quality. Further, methods of speech/voice enhancement and conversion have enabled improvements in intelligibility of spoken content, as well as socio-emotional communication skills of e.g., speakers on the autism spectrum. In this light and given the steadily growing research activities and their importance, we openly invite papers describing various aspects of analysis and synthesis of atypical speech and voices as well as their successful applications. Submissions must not have been previously published and must have specific connection to audio, speech, and music processing. Topics of interest include: * Automatic Recognition of Atypical Speech & Voice Patterns * Analysis of Atypical Speech, Singing & Voices * Robustness in Automatic Speech Recognition against Atypical Phenomena * Synthesis of Atypical Speech, Singing & Voices * Enhancement and Conversion for Intelligibility Improvement of Atypical Speech & Voices * Resources of Atypical Speech, Singing or Voice Patterns * Multimodal Integration for Atypical Speech & Voice Processing (e.g., videolaryngoscopy, videokymography, fMRI, etc.) * Tutoring Systems for Atypical Speech & Voice * Serious Gaming Approaches in Atypical Speech & Voices * Relationship Between Atypical Speech & Voices and Neurological Conditions Lead Guest Editor: * Björn W. Schuller, Imperial College London, London, U.K. & TUM, Munich, Germany Guest Editors: * Tiago H. Falk, INRS-EMT, Montreal, Canada * Vijay Parsa, University of Western Canada, London, Canada * Elmar Nöth, FAU Erlangen-Nuremberg, Germany & King Abdulaziz University, Jeddah, Saudi Arabia For more information about this special issue, please visit: http://si.eurasip.org/issues/16/atypical-speech-voices-corpora-classification/
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7-5CfP Special Issue of ACM Transactions on Accessible Computing (TACCESS) On Speech and Language Interaction for Daily Assistive Technology

Call for Papers - Special Issue of ACM Transactions on Accessible Computing (TACCESS) On

Speech and Language Interaction for Daily Assistive Technology

Guest Editors: François Portet, Frank Rudzicz, Jan Alexandersson, Heidi Christensen

Assistive technologies (AT) allow individuals with disabilities to do things that would otherwise be difficult or impossible. Many assistive technologies involve providing universal access, such as modifications to televisions or telephones to make them accessible to those with vision or hearing impairments. An important sub-discipline within this community is Augmentative and Alternative Communication (AAC), which has its focus on communication technologies for those with impairments that interfere with some aspect of human communication, including spoken or written modalities. Another important sub-discipline is Ambient Assisted Living (AAL) which facilitates independent living; these technologies break down the barriers faced by people with physical or cognitive impairments and support their relatives and caregivers. These technologies are expected to improve quality-of-life of users and promote independence, accessibility, learning, and social connectivity.

Speech and natural language processing (NLP) can be used in AT/AAC in a variety of ways including, improving the intelligibility of unintelligible speech, and providing communicative assistance for frail individuals or those with severe motor impairments. The range of applications and technologies in AAL that can rely on speech and NLP technologies is very large, and the number of individuals actively working within these research communities is growing, as evidenced by the successful INTERSPEECH 2013 satellite workshop on Speech and Language Processing for Assistive Technologies (SLPAT). In particular, one of the greatest challenges in AAL is to design smart spaces (e.g., at home, work, hospital) and intelligent companions that anticipate user needs and enable them to interact with and in their daily environment and provide ways to communicate with others. This technology can benefit each of visually-, physically-, speech- or cognitively- impaired persons.

Topics of interest for submission to this special issue include (but are not limited to):

  • Speech, natural language and multimodal interfaces designed for people with physical or cognitive impairments
  • Applications of speech and NLP technology (automatic speech recognition, synthesis, dialogue, natural language generation) for AT applications
  • Novel modeling and machine learning approaches for AT applications
  • Long-term adaptation of speech/NLP based AT system to user's change
  • User studies, overview of speech/NLP technology for AT: understanding the user's needs and future speech and language based technologies.
  • Understanding, modeling and recognition of aged or disordered speech
  • Speech analysis and diagnosis: automatic recognition and detection of speech pathologies and speech capability loss
  • Speech-based distress recognition
  • Automated processing of symbol languages, sign language and nonverbal communication including translation systems.
  • Text and audio processing for improved comprehension and intelligibility, e.g., sentence simplification or text-to-speech
  • Evaluation methodology of systems and components in the lab and in the wild.
  • Resources; corpora and annotation schemes
  • Other topics in AAC, AAL, and AT

 

Submission process

Contributions must not have been previously published or be under consideration for publication elsewhere, although substantial extensions of conference or workshop papers will be considered. as long as they adhere to ACM's minimum standards regarding prior publication (http://www.acm.org/pubs/sim_submissions.html). Studies involving experimentations with real target users will be appreciated. All submissions have to be prepared according to the Guide for Authors as published in the Journal website at http://www.rit.edu/gccis/taccess/. 

Submissions should follow the journal's suggested writing format (http://www.gccis.rit.edu/taccess/authors.html) and should be submitted through Manuscript Central http://mc.manuscriptcentral.com/taccess , indicating that the paper is intended for the Special Issue. All papers will be subject to the peer review process and final decisions regarding publication will be based on this review.

Important dates:

◦   Full paper submission: 31st March 2014

◦   Response to authors: 30th June 2014

◦   Revised submission deadline: 31st August 2014

◦   Notification of acceptance: 31st October 2014

◦   Final manuscripts due: 30th November 2014

 

 

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7-6Special Issue IEEE SIGNAL PROCESSING MAGAZINE Signal Processing Techniques for Assisted Listening
CALL FOR PAPERS
IEEE Signal Processing Society
Special Issue IEEE SIGNAL PROCESSING MAGAZINE
Special Issue on 'Signal Processing Techniques for Assisted Listening'

 

Aims and Scope
With the rapid advancement in microelectronics and parallel computing, significant computational power is nowadays readily available in ever smaller battery-operated consumer electronics devices. This has paved the way for applications such as active noise cancellation (ANC) headphones, hearing protectors, communication headsets, 3-D glasses, to name a few. In addition, hearing aids have also experienced large advances in electronics and functionality. To a large extent this rapid development can be attributed to the popularity of mobile phones, as these devices are no longer used merely as a communication tool but are multi-media and gaming platforms. Accordingly they require sophisticated processing for augmented reality in which the virtual listening world can be combined conveniently with situational acoustical awareness. The same can be said for assistive listening devices (ALDs), including hearing aids, personal sound amplification devices, and related audio capture accessories. Here the challenge is to render the sound as accessible as possible in order to provide hearing support in challenging acoustical situations. All aforementioned applications are underpinned by fundamental signal processing problems related to sound capture and sound rendering. On the one hand, for sound capture problems such as sensor technology (microphones, accelerometers etc.), acoustic scene analysis, audio signal enhancement, noise suppression with single and multiple sensors, feedback suppression and dereverberation need to be considered. On the other hand, sound rendering involves problems such as active noise cancellation, loudspeaker equalization (for mimicking or adapting outer-ear characteristics), 3-D audio rendering, acoustic scene visualization, automatic mixing and psycho-acoustical processing.

This special issue focuses on technical challenges of assisted listening from a signal processing perspective. Prospective authors are invited to contribute tutorial and survey articles that articulate signal processing methodologies which are critical for applying assisted listening techniques to mobile phones and other communication devices. Of particular interest is the role of signal processing in combining multimedia content, voice communication and voice pick-up in various real-world settings.

Tutorial and survey papers are solicited on advances in signal processing that particularly apply to the following applications:

  • Assistive listening devices, hearing aids and personal sound amplifiers
  • Communication devices
  • Hearing protection and active noise control
  • Navigation systems

These can include the following suggested topics as they relate to the above applications:

Signal processing for robust sound acquisition: Signal processing for acoustic rendering:
Speech enhancement/intelligibility improvement Signal spatialization/3D sound/automatic mixing
Speech separation/separation of non-stationary signals Motion compensation (head tracking, gps systems)
Reverberation reduction Environment-sensitive intelligibility improvement
Array signal processing, and distributed sensors Techniques for natural sound in headphones
Multi-modal acquisition methods  

Submission Process
Articles submitted to this special issue must contain significant relevance to advanced acoustic signal processing enabling assisted listening. All submissions will be peer reviewed according to the IEEE and Signal Processing Society guidelines for both publications. Submitted articles should not have been published or be under review elsewhere. Manuscripts should be submitted online at http://mc.manuscriptcentral.com/sps-ieee using the Manuscript Central interface. Submissions to this special issue of the IEEE SIGNAL PROCESSING MAGAZINE should have significant tutorial value. Prospective authors should consult the site http://www.signalprocessingsociety.org/publications/periodicals/spm/ for guidelines and information on paper submission.

Important Dates: Expected publication date for this special issue is March 2015.

Time Schedule Signal Processing Magazine
White paper (4 pages) due
Invitation notification
Manuscript submission due
Acceptance notification
Revised manuscript due
Final acceptance notification
Final material from authors
Publication date
February 10, 2014
February 24, 2014
May 15, 2014
July 8, 2014
August 20, 2014
September 20, 2014
November 8, 2014 (strict)
March 2015

Guest Editors
Sven Nordholm, Lead GE, Curtin University, Perth, Western Australia (s.nordholm@curtin.edu.au)
Walter Kellermann, Friedrich-Alexander University, Erlangen-Nuremberg, Germany (wk@lnt.de)
Simon Doclo, University of Oldenburg, Oldenburg, Germany (simon.doclo@uni-oldenburg.de)
Vesa Välimäki, Aalto University, Espoo, Finland (vesa.valimaki@alto.fi)
Shoji Makino, University of Tsukuba, Tsukuba, Japan (maki@tara.tsukuba.ac.jp)
John Hershey, Mitsubishi Electric Research Laboratories, Boston, USA (hershey@merl.com)

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