|
 |
ISCApad #161 |
| Monday, November 07, 2011 by Chris Wellekens |
7 Journals
| 7-1 | Special issue Signal Processing : LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION The journal Signal Processing published by Elsevier is issuing a call for a special issue on latent variable models and source separation. Papers dealing with multi-talker ASR and noise-robust ASR using source separation techniques are highly welcome.
| |||||
| 7-2 | IEEE Signal Processing Magazine: Special Issue on Fundamental Technologies in Modern Speech RecognitionIEEE Signal Processing Magazine
Special Issue on Fundamental Technologies in Modern Speech Recognition
Guest Editors:
Sadaoki Furui Tokyo Institute of Technology, Tokyo, Japan
(furui@cs.titech.ac.jp)
Li Deng Microsoft Research, Redmond, USA (deng@microsoft.com)
Mark Gales University of Cambridge, Cambridge, UK (mjfg@eng.cam.ac.uk)
Hermann Ney RWTH Aachen University, Aachen, Germany
(ney@cs.rwth-aachen.de)
Keiichi Tokuda Nagoya Institute of Technology, Nagoya, Japan
(tokuda@nitech.ac.jp)
Recently, various statistical techniques that form the basis of fundamental technologies underlying today’s automatic speech recognition (ASR) research and applications have attracted new attentions. These techniques have significantly contributed to progress in ASR, including speaker recognition, and their various applications. The purpose of this special issue is to bring together leading experts from various disciplines to explore the impact of statistical approaches on ASR. The special issue will provide a comprehensive overview of recent developments and open problems.
This Call for Papers invites researchers to contribute articles that have a broad appeal to the signal processing community. Such an article could be for example a tutorial of the fundamentals or a presentation of a state-of-the-art method. Examples of the topics that could be addressed in the article include, but are not limited to:
* Supervised, unsupervised, and lightly supervised training/adaptation
* Speaker-adaptive and noise-adaptive training
* Discriminative training
* Large-margin based methods
* Model complexity optimization
* Dynamic Bayesian networks for various levels of speech modeling and decoding
* Deep belief networks and related deep learning techniques
* Sparse coding for speech feature extraction and modeling
* Feature parameter compensation/normalization
* Acoustic factorization
* Conditional random fields (CRF) for modeling and decoding
* Acoustic source separation by PCA and ICA
* De-reverberation
* Rapid language adaptation for multilingual speech recognition
* Weighted-finite-state-transducer (WFST) based decoding
* Uncertainty decoding
* Speaker recognition, especially text-independent speaker verification
* Statistical framework for human-computer dialogue modeling
* Automatic speech summarization and information extraction
Submission Procedure:
Prospective authors should submit their white papers to the web submission system at http://mc.manuscriptcentral.com/spmag-ieee.
Schedule:
* White paper due: October 1, 2011
* Invitation notification: November 1, 2011
* Manuscript due: February 1, 2012
* Acceptance notification: April 1, 2012
* Final manuscript due: May 15, 2012
* Publication date: September 15, 2012
| |||||
| 7-3 | CSL Special issue on SPEECH SEPARATION AND RECOGNITION IN MULTISOURCE ENVIRONMENTS extended deadline! COMPUTER SPEECH AND LANGUAGE
| |||||
| 7-4 | Acoustical Science and Technology (AST) English Journal of the Acoustical Society of Japan The new issue of the Acoustical Science and Technology
| |||||
| 7-5 | CfP Signal processing Special issue on Processing Under-Resourced Languages Call for Papers Special Issue on Processing Under-Resourced Languages
The creation of language and acoustic resources, for any given spoken language, is typically a costly task. For example, a large amount of time and money is required to properly create annotated speech corpora for automatic speech recognition (ASR), domain-specific text corpora for language modeling (LM), etc. The development of speech technologies (ASR, Text-to-Speech) for the already high-resourced languages (such as English, French or Mandarin, for example) is less constrained by this issue and, consequently, high-performance commercial systems are already on the market. On the other hand, for under-resourced languages, the above issue is typically the main obstacle.
Given this, the scientific community’s concern with porting, adapting, or creating language and acoustic resources or even models for low-resourced languages has been growing recently and several algorithms and methods of adaptation have been proposed and experimented with. In the mean time, workshops and special sessions have been organized on this domain.
This special issue focuses on research and development of new tools based on speech technologies for less-resourced national languages, mainly, used in the following large geographical regions: Eastern Europe, South and Southeast Asia, West Asia, North Africa, Sub-Saharan Africa, South and Central America, Oceania. The special issue is open to present problems and peculiarities of targeted languages in application to spoken language technologies, including automatic speech recognition, text-to-speech, speech-to-speech translation, spoken dialogue systems in an internationalized context. When developing speech-based technologies researchers are faced with many new problems from lack of audio databases and linguistic resources (lexicons, grammars, text collections), to inefficiency of existing methods for language and acoustical modeling, and limited infrastructure for the creation of relevant resources. They often have to deal with novel linguistic phenomena that are poorly studied or researched from a speech technology perspective (for instance, clicks in southern African languages, tone in many languages of the world, language switching in multilingual systems, rich morphology, etc).
Well-written papers on speech technologies for targeted languages are encouraged, and papers describing original results (theoretical and/or experimental) obtained for under-resourced languages, but important for well-elaborated languages too, are invited as well. Good papers from any countries and any authors may be accepted if they present new speech studies concerning the languages of interest of the special issue. Submissions from countries where issues related to under-resourced languages are a practical reality, are strongly encouraged for this special issue.
Important Dates: Submission deadline: 1st August 2012 Notification of acceptance: 1st February 2013 Final manuscript due: April 2013 Tentative publication date: Summer 2013
Editors Etienne Barnard North-West University, South Africa Laurent Besacier Laboratory of Informatics of Grenoble, France Alexey Karpov SPIIRAS, Saint-Petersburg, Russia Tanja Schultz University of Karlsruhe, Germany
|
