| 7-1 | CfP IEEE JSTSP Special Issue on Deep Learning for High Dimensional Sensing
Call for Papers
IEEE JSTSP Special Issue on
Deep Learning for High Dimensional Sensing
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Sensing is the first step to perceive and understand the environment. We are living in a high-dimensional world and thus high-dimensional sensing (HDS) and signal processing play pivotal roles in many fields such as robotics and surveillance. The recent explosive growth of artificial intelligence has provided new opportunities and tools for computational and learning based sensor design. In many emerging real applications such as advanced driver assistance systems / automated driving systems, large-scale, highdimensional and diverse types of data need to be captured and processed with high accuracy and in a realtime manner. To address these challenges, it is highly desirable to develop new sensing techniques with high performance to capture high-dimensional data employing recent advances in deep learning (DL).
This special issue is devoted to DL for HDS, with the goals to highlight new research accomplishments and developments, open issues and promising new directions, related to system design, theory, algorithms and applications. This special issue will include high-quality novel contributions in this emerging field including but not limited to:
Topics of interest include, but are not limited to:
- HDS systems (hyperspectral, multispectral, video, X-ray, MRI, ultrasound, SAR, Tomography, Terahertz and Radar, LIDAR, acoustic and speech).
- Large field-of-view sensing and super resolution
- Non-line-of-sight imaging.
- Deep learning based reconstruction algorithm development for HDS.
- Theoretical analysis and interpretability of deep learning methods for HDS systems.
- Deep/reinforcement learning for HDS system design.
- Object classification, detection, segmentation and/or recognition for HDS systems.
- Deep learning for information fusion from diverse HDS systems.
Submission Guidelines
Prospective authors should follow the instructions given on the IEEE JSTSP webpages and submit their manuscript through the web submission system |
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Important Dates
- Manuscript submissions due: October 15, 2021
- First review completed: November 30, 2021
- Revised manuscript due: January 15, 2022
- Second review completed: February 28, 2022
- Final manuscript due: April 15, 2022
- Publication: June 2022
Guest Editors
- Dr. Xin Yuan, (Lead Guest Editor), Bell Labs, USA.
- Prof. David Brady, University of Arizona, USA.
- Prof. Jinli Suo, Tsinghua University, China.
- Prof. Henry Arguello, Universidad Industrial de Santander, Colombia.
- Prof. Miguel Rodrigues, University College London, UK.
- Prof. Aggelos K. Katsaggelos, Northwestern University, USA.
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| 7-2 | CfP IEEE Trans. on Multimedia (TMM) Special issue on Learning from Noisy Multimedia Data
Summary
With the development of computing power and deep learning algorithms, we can process and apply millions or even hundreds of millions of large-scale data to train robust models. Nevertheless, constructing a million-scale dataset like ImageNet is time-consuming and labor-intensive. Fortunately, web data are rich and free resources. For arbitrary categories, the potential training data can be easily obtained from the web (e.g., search engines such as Google and Bing, Twitter, Instagram, and short video sharing applications). Moreover, with the development of the Internet, web data consist of much richer modality, such as text, audio, image, and video. It is consequently natural to leverage the large-scale yet noisy data on the web to automatically construct various types of datasets. However, there are two critical issues in the automatically collected datasets: ?label noise? and ?domain mismatch?. Learning directly from noisy web data tends to have poor performance. This special issue serves as a forum for researchers all over the world to discuss their works and recent advances in learning from noisy web data. Both state-of-the-art articles, as well as comprehensive literature reviews, are welcome for submission. To provide readers of the special issue with an understanding of the most current issues in this field, we will invite one survey paper, which will undergo peer review. Papers addressing interesting real-world multimedia as well as computer vision applications are especially encouraged.
Scope
The special issue seeks original contributions which address the challenges in learning from noisy multimedia data. Possible topics include but are not limited to:
- Webly supervised visual classification, detection, segmentation, and feature learning
- Large-scale/web-scale noisy data learning systems
- Label noise in deep learning, theoretical analysis, and application
- Automatic image dataset construction and application
- Multi-modality theoretical analysis and application
- Data augmentation theoretical analysis and application
- Transfer learning across labeled and web data
- New datasets and benchmarks for webly supervised learning
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Submission Procedure
Papers should be formatted according to the IEEE Transactions on Multimedia guidelines for authors. By submitting/resubmitting your manuscript to these Transactions, you are acknowledging that you accept the rules established for publication of manuscripts, including an agreement to pay all over-length page charges, color charges, and any other charges and fees associated with the publication of the manuscript. Manuscripts (both 1-column and 2-column versions are required) should be submitted electronically through the online IEEE manuscript submission system. All submitted papers will go through the same review process as the regular TMM paper submissions. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the special issue topics above
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Important Dates
- Paper submission due: January 31, 2021
- First review notification: March 15, 2021
- Revision due: May 15, 2021
- Second review notification: June 15, 2021
- Final version due: August 30, 2021
- Publication: Early 2022
Guest Editors
- Jian Zhang, jian.zhang@uts.edu.au, University of Technology Sydney, Australia (Lead Editor)
- Alan Hanjalic, A.Hanjalic@tudelft.nl, Delft University of Technology, The Netherlands
- Ramesh Jain, jain@ics.uci.edu, University of California - Irvine, CA, USA
- Xiansheng Hua, huaxiansheng@gmail.com, DAMO Academy, Alibaba Group, Hangzhou, China
- Yazhou Yao, yazhou.yao@njust.edu.cn, Nanjing University of Science and Technology, China
- Dan Zeng, dzeng@shu.edu.cn, Shanghai University, China
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| 7-3 | CfP. Journal of Applied Sciences :Special Issue on Applications of Speech and Language Technologies in Healthcare
Call for Papers
Applied Sciences (IF: 2.474)
https://www.mdpi.com/journal/applsci/
Special Issue on Applications of Speech and Language Technologies in Healthcare
https://www.mdpi.com/journal/applsci/special_issues/speech_language_technologies_healthcare
Speech and language technologies (SLTs) have experienced a major boom in recent years and commercial speech-enabled systems are becoming ubiquitous. Unfortunately, people with speech and language impairments often face barriers to using these technologies leading to an increasing gap between SLTs available to the general public and those accessible to people with speech impairments. Other applications of SLTs include assistive communication devices for people with speech impairments, speech-based diagnosis of certain voice and respiratory pathologies (e.g., dysphonia, vocal fold nodules, COVID-19, etc.) and, even, certain neurological disorders, such as Alzheimer?s or Parkinson?s disease. In addition, new communication interfaces with great potential are emerging, such as silent speech interfaces.
In this Special Issue, we attempt to collect relevant contributions in the development of SLTs focused on improving the integration of people with speech impairments in society, as well as for the detection and monitoring of pathologies or diseases. We also intend to attract studies on the development of applications for voice professionals in the clinical field.
We cordially invite you to participate in this special issue by submitting your recent work on the field. Relevant research topics include, but are not limited to:
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Speech and language technologies for augmentative and alternative communication (AAC);
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Silent speech interfaces;
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Voice conversion (VC) and text-to-speech (TTS) assistive communication systems;
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Automatic speech recognition for people with speech impairments;
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Diagnosis and monitoring of voice disorders and other respiratory diseases;
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Speech-based diagnosis and assessment of neurological disorders;
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Personalization of speech tools for people with speech impairments;
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Voice banking initiatives;
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Tools and software for speech therapists and clinicians.
Submission instructions
Manuscripts should be submitted online atwww.mdpi.com byregistering andlogging in to this website. Once you are registered,click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website.
Important dates:
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Submission opens: January 1, 2021
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Submission deadline: July 31, 2021
Guest editors:
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| 7-4 | Language Resources and Evaluation (LRE) Journal: special issue on language technology platforms
Language Resources and Evaluation (LRE) Journal
SPECIAL ISSUE ONLANGUAGE TECHNOLOGY PLATFORMS
CALL FOR SUBMISSIONS
Deadline for Submissions: 31 August 2021
Guest Editors
Georg Rehm (DFKI ? main contact)
Stelios Piperidis (ILSP)
Kalina Bontcheva (USFD)
Khalid Choukri (ELDA)
Jan Hajic (CUNI)
Introduction and Context
Submissions are invited for papers to a special issue of the journal ?Language Resources and Evaluation? on Language Technology platforms.
With the increasing number of platforms, grids and infrastructures in the wider area of Language Technologies (LT), NLP, NLU, speech (including conversational agents and personal assistants), interaction and language-centric AI, there is a growing need for sharing experiences, approaches and best practices eventually to learn and benefit from the work of others and also, practically, to start a collaboration towards LT platform interoperability.
This LRE Journal Special Issue aims to address all smaller and larger language grids, language-related infrastructures and platforms (including general and domain-specific) as well as research projects that touch upon one or more of the topics mentioned below, both in Europe and world-wide. With its origin in the 1st International Workshop on Language Technology Platforms (IWLTP 2020), the goal of this LRE Journal Special Issue is to assemble submissions from representatives of relevant initiatives and interested parties to present their observations, experiences, solutions, best practices as well as current and future challenges. The LRE Journal Special Issue also addresses the aspect of fragmentation in the Language Technology landscape, especially in Europe. Instead of ?platform islands? that simply co-exist side by side, possibly even competing with each other, we want to foster the discussion how our platforms can be made interoperable and how they can interact with one another to create synergies towards a productive LT platform ecosystem.
The long-term vision of platform interoperability has several prerequisites including technical requirements that need to be addressed, for example, through the use of common standards, but also community-related aspects that need to be addressed and strengthened through open discussions and further joint development. Both aspects are covered by this LRE Special Issue.
Topics of Interest
In the list of topics below, the term ?Language Technology (LT)? comprises Natural Language Processing (NLP), Natural Language Understanding (NLU), all types of speech and conversational technologies, as well as language-centric AI and also general AI. The term ?platform? includes notions such as, among others, infrastructures, frameworks, clouds etc.
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LT platforms: architectures and approaches (including commercial and non-commercial; national and international; domain-specific and general purpose; all countries, regions and continents)
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LT platform interoperability: standards, APIs, workflows, as well as the exchange of services, models, data and metadata
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Data and metadata exchange formats and harvesting (including taxonomies, ontologies and other forms of semantic descriptions of repository records)
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Operational and legal policies as well as governance structures for LT platforms (GDPR, data management, licensing, user authentication and authorisation, billing, business models, ethical considerations)
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Means by which one can address the problem and challenge of accessing language data and LT software that is not entirely free to use.
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(Cloud-based) containerisation and virtualisation technologies for LT platforms
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Training, re-training, (up/down)scaling and adaptation of models; connecting data sets, tools and machine learning frameworks
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LT platforms and challenges regarding the availability of CPU/GPU resources, practical issues in load balancing, bandwidth (re)allocation and regulation, power consumption
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From (general or domain-specific) AI platforms and (general or domain-specific) LT platforms and back again
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Community-related aspects of LT platforms
We invite contributions on the topics mentioned above or on related topics of interest. We also invite authors to submit contributions on the current situation of their platform-related projects or initiatives (including technical, governance, community, uptake, interoperability, social and legal aspects). We especially invite all relevant international or national grid, platform, cloud or infrastructure projects to submit contributions.
Important Dates
Call for papers issued: March 2021
Submissions due: 31 August 2021
Author notification: January 2022
Final manuscripts submitted: mid 2022
Types of Papers
FULL-LENGTH PAPERS should describe original, substantive research results involving any aspect of the creation, use, or evaluation of language resources, or provide a detailed description of a new and substantial major resource. In the latter case, the submission should provide a detailed description of the methods used to create and evaluate the resource and provide a comparison with similar resources, where appropriate. Full-length submissions are typically 18-25 pages in length.
SURVEY ARTICLES provide a comprehensive overview of some area or substantial resource relevant to the LRE readership. Survey articles should be written with an eye toward providing an entry point for those who work in the field but not familiar with the particular area or resource, including context, history, and comprehensive references. Survey articles follow the same format as full-length papers.
PROJECT NOTES may describe significant interim research or resource development results, or provide a description of software, standards, minor resources, or projects that are of interest to the journal's readership. Project notes are typically 8-10 pages in length, but no minimum or maximum length is required.
SQUIBS provide a forum for expressing an opinion on topics of interest to the LRE readership. We are especially interested in articles that provide a perspective and/or consider solutions or ways forward for issues of current interest to the field. Squibs are typically 6-8 pages in length.
Manuscript Submission
Submission of a manuscript implies: that the work described has not been published before; that it is not under consideration for publication anywhere else; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities ? tacitly or explicitly ? at the institute where the work has been carried out. The publisher will not be held legally responsible should there be any claims for compensation.
Permissions
Authors wishing to include figures, tables, or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) for both the print and online format and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.
Online Submission
Please go to https://www.springer.com/journal/10579/submission-guidelines and follow the hyperlink ?Submit manuscript? on the right and upload all of your manuscript files following the instructions given on the screen (please use the article type ?S.I.: LTP?, for ?Special Issue: Language Technology Platforms?).
Please ensure you provide all relevant editable source files. Failing to submit these source files might cause unnecessary delays in the review and production process.
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| 7-5 | TAL numero special: Diversité linguistique en traitement automatique du langage.
La revue TAL (Traitement Automatique des Langues) vous invite à soumettre une contribution, en français ou en anglais, au numéro spécial 62(3) sur le thème de *la diversité linguistique en TAL*.
https://tal-62-3.sciencesconf.org/
APPEL À CONTRIBUTIONS
Bien que la linguistique informatique porte en elle la promesse d'outils aidant au traitement et à la compréhension d'une multitude de langues, la majorité des travaux en TAL porte encore sur un petit nombre de langues, et en particulier sur l'anglais. L'objectif de ce numéro spécial est de promouvoir la diversité linguistique en TAL en encourageant la présentation de travaux portant sur des langues ou variantes de langues moins souvent traitées, ainsi que sur des méthodes qui peuvent être aisément appliquées à celles-ci.
Les défis rencontrés vont de la faible disponibilité de ressources pour le développement et l'estimation de modèles, aux difficultés de gérer des morphologies ou syntaxes plus complexes, en passant par le challenge que présente la publication de ces travaux.
Pour ce numéro thématique, la revue TAL (https://www.atala.org/revuetal) encourage les contributions (en français ou en anglais) décrivant par exemple :
des méthodes nouvelles avec une application démontrée à des langues, dialectes ou variantes moins souvent traitées ;
des applications nouvelles de techniques et modèles, même déjà publiées, sur de nouvelles langues ou variantes, en en identifiant clairement les défis ;
des modèles de phénomènes linguistiques qui ne sont pas ou peu présents en anglais ou dans les langues les plus couramment traitées, ainsi que des méthodes ou outils les mettant en ?uvre ;
la production ou le portage de ressources pour des langues moins souvent traitées.
Nous encourageons aussi la soumission de contributions sur le traitement de textes multilingues, par exemple la traduction automatique ou l'apprentissage de représentations multilingues ou translinguistiques, lorsque les langues à l'étude sont peu traitées.
Les auteurs souhaitant soumettre à ce numéro spécial sont fortement encouragés à identifier clairement les langues sur lesquelles portent leurs travaux, ainsi que les défis spécifiques aux langues étudiées.
Site et soumission : https://tal-62-3.sciencesconf.org/
Date limite de soumission : 30 juin 2021
Rédacteurs en chef invités :
Aarne Ranta (U. Gothenburg)
Cyril Goutte (CNRC, Canada)
Relecteurs invités (en cours de finalisation) :
Francis Tyers (Indiana U.)
Laurent Besacier (Naver Labs)
Laurette Pretorius (U. South Africa)
Leila Kosseim (U. Concordia, Montréal)
Marie-Odile Junker (Carleton U.)
Marine Carpuat (U. Maryland, College Park)
Mathieu Mangeot (U. Grenoble)
Mona Diab (George Washinton U.)
Pushpak Bhattacharyya (IIT Bombay)
Trond Trosterud (U. Tromsø)
Wanjiku Nganga (U. Nairobi)
Yannick Parmentier (U. Lorraine)
Yves Scherrer (U. Helsinki)
https://www.atala.org/content/comité-de-rédaction-0
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| 7-6 | Language Resources and Evaluation (LRE) Journal (Ed. Springer): Special Issue on Language Technology Platforms
CALL FOR SUBMISSIONS
Language Resources and Evaluation (LRE) Journal (Ed. Springer)
Special Issue on Language Technology Platforms
Deadline for Submissions: 31 August 2021
Guest Editors
Georg Rehm (DFKI ? main contact)
Stelios Piperidis (ILSP)
Kalina Bontcheva (USFD)
Khalid Choukri (ELDA)
Jan Hajic (CUNI)
Introduction and Context
Submissions are invited for papers to a special issue of the journal ?Language Resources and Evaluation? on Language Technology platforms.
With the increasing number of platforms, grids and infrastructures in the wider area of Language Technologies (LT), NLP, NLU, speech (including conversational agents and personal assistants), interaction and language-centric AI, there is a growing need for sharing experiences, approaches and best practices eventually to learn and benefit from the work of others and also, practically, to start a collaboration towards LT platform interoperability.
This LRE Journal Special Issue aims to address all smaller and larger language grids, language-related infrastructures and platforms (including general and domain-specific) as well as research projects that touch upon one or more of the topics mentioned below, both in Europe and world-wide. With its origin in the 1st International Workshop on Language Technology Platforms (IWLTP 2020), the goal of this LRE Journal Special Issue is to assemble submissions from representatives of relevant initiatives and interested parties to present their observations, experiences, solutions, best practices as well as current and future challenges. The LRE Journal Special Issue also addresses the aspect of fragmentation in the Language Technology landscape, especially in Europe. Instead of ?platform islands? that simply co-exist side by side, possibly even competing with each other, we want to foster the discussion how our platforms can be made interoperable and how they can interact with one another to create synergies towards a productive LT platform ecosystem.
The long-term vision of platform interoperability has several prerequisites including technical requirements that need to be addressed, for example, through the use of common standards, but also community-related aspects that need to be addressed and strengthened through open discussions and further joint development. Both aspects are covered by this LRE Special Issue.
Topics of Interest
In the list of topics below, the term ?Language Technology (LT)? comprises Natural Language Processing (NLP), Natural Language Understanding (NLU), all types of speech and conversational technologies, as well as language-centric AI and also general AI. The term ?platform? includes notions such as, among others, infrastructures, frameworks, clouds etc.
-
LT platforms: architectures and approaches (including commercial and non-commercial; national and international; domain-specific and general purpose; all countries, regions and continents)
-
LT platform interoperability: standards, APIs, workflows, as well as the exchange of services, models, data and metadata
-
Data and metadata exchange formats and harvesting (including taxonomies, ontologies and other forms of semantic descriptions of repository records)
-
Operational and legal policies as well as governance structures for LT platforms (GDPR, data management, licensing, user authentication and authorisation, billing, business models, ethical considerations)
-
Means by which one can address the problem and challenge of accessing language data and LT software that is not entirely free to use.
-
(Cloud-based) containerisation and virtualisation technologies for LT platforms
-
Training, re-training, (up/down)scaling and adaptation of models; connecting data sets, tools and machine learning frameworks
-
LT platforms and challenges regarding the availability of CPU/GPU resources, practical issues in load balancing, bandwidth (re)allocation and regulation, power consumption
-
From (general or domain-specific) AI platforms and (general or domain-specific) LT platforms and back again
-
Community-related aspects of LT platforms
We invite contributions on the topics mentioned above or on related topics of interest. We also invite authors to submit contributions on the current situation of their platform-related projects or initiatives (including technical, governance, community, uptake, interoperability, social and legal aspects). We especially invite all relevant international or national grid, platform, cloud or infrastructure projects to submit contributions.
Important Dates
Call for papers issued: March 2021
Submissions due: 31 August 2021
Author notification: January 2022
Final manuscripts submitted: mid 2022
Types of Papers
FULL-LENGTH PAPERS should describe original, substantive research results involving any aspect of the creation, use, or evaluation of language resources, or provide a detailed description of a new and substantial major resource. In the latter case, the submission should provide a detailed description of the methods used to create and evaluate the resource and provide a comparison with similar resources, where appropriate. Full-length submissions are typically 18-25 pages in length.
SURVEY ARTICLES provide a comprehensive overview of some area or substantial resource relevant to the LRE readership. Survey articles should be written with an eye toward providing an entry point for those who work in the field but not familiar with the particular area or resource, including context, history, and comprehensive references. Survey articles follow the same format as full-length papers.
PROJECT NOTES may describe significant interim research or resource development results, or provide a description of software, standards, minor resources, or projects that are of interest to the journal's readership. Project notes are typically 8-10 pages in length, but no minimum or maximum length is required.
SQUIBS provide a forum for expressing an opinion on topics of interest to the LRE readership. We are especially interested in articles that provide a perspective and/or consider solutions or ways forward for issues of current interest to the field. Squibs are typically 6-8 pages in length.
Manuscript Submission
Submission of a manuscript implies: that the work described has not been published before; that it is not under consideration for publication anywhere else; that its publication has been approved by all co-authors, if any, as well as by the responsible authorities ? tacitly or explicitly ? at the institute where the work has been carried out. The publisher will not be held legally responsible should there be any claims for compensation.
Permissions
Authors wishing to include figures, tables, or text passages that have already been published elsewhere are required to obtain permission from the copyright owner(s) for both the print and online format and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.
Online Submission
Please go to https://www.springer.com/journal/10579/submission-guidelines and follow the hyperlink ?Submit manuscript? on the right and upload all of your manuscript files following the instructions given on the screen (please use the article type ?S.I.: LTP?, for ?Special Issue: Language Technology Platforms?).
Please ensure you provide all relevant editable source files. Failing to submit these source files might cause unnecessary delays in the review and production process.
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| 7-7 | CfP IEEE JSTSP Special issue on Self Supervised Learning for Speech and Audio Processing
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There is a trend in the machine learning community to adopt self-supervised approaches to pre-train deep networks. Self-supervised learning utilizes proxy supervised learning tasks, for example, distinguishing parts of the input signal from distractors, or generating masked input segments conditioned on the unmasked ones, to leverage data from unlabeled corpora. These approaches make it possible to use a tremendous amount of unlabeled data available on the web to train large networks to extract high-level, informative, and compact features from raw inputs. Then for downstream applications, a simple task-specific model is added on top of the self-supervised model. The self-supervised model can serve as a feature extractor or be fine-tuned with the task-specific model.
Recently self-supervised approaches for speech and audio processing are gaining attention. This special issue will bring the works on self-supervision for the field of speech and audio processing. Alongside research work on new self-supervised methods, data, applications, and results, this special issue will call for novel work on understanding, analyzing, and comparing different self-supervision approaches for speech and audio processing. We welcome the submission of the work on, but not limited to, the following research directions:
Topics of interest in this special issue include (but are not limited to):
- New self-supervised proxy tasks for speech and audio processing.
- New approaches to use self-supervised models in speech and audio processing tasks.
- Compare the similarities and differences of self-supervised learning approaches.
- Theoretical or empirical studies on understanding why self-supervision methods work.
- Exploring the limits of self-supervised learning approaches for speech and audio processing, for example, universal pre-trained model for multiple downstream tasks, environment conditions, or languages.
- Self-supervised learning approaches involving the interaction of speech and other modalities.
- Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods.
Submission Guidelines
Prospective authors should visit the IEEE JSTSP webpages for information on paper submission. Manuscripts should be submitted using the Manuscript Central system according to the schedule below. Manuscripts will be peer-reviewed according to the standard IEEE process.
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Important Dates
- Submission deadline: December 31, 2021
- First review completed: February 28, 2022
- Revised manuscript due: April 30, 2022
- Second review completed: June 15, 2022
- Final manuscript due: July 31, 2022
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| 7-8 | Special Issue 'Prosody and Interfaces'
The Special Issue ?Prosody and Interfaces? welcomes contributions on the interaction between prosody and other grammar components (e.g., morphology, syntax, semantics, pragmatics), focusing on the Portuguese language. Besides aiming at gathering the papers presented at Symposia 7 and 2 of the I International Congress Voices and Writings in the Different Spaces of the Portuguese Language, organized by the Postgraduate Program in Vernacular Letters (PPGLEV) of the Federal University of Rio de Janeiro (UFRJ), in November 2020 (http://congressoppglev.letras.ufrj.br/congress/), this special issue is broadly open to other (unpublished) related research papers.
Potential themes/topics of this special issue include but are not limited to the following:
- prosodic similarities/differences across Portuguese varieties;
- prosodic properties of Portuguese in contact with other languages;
- prosodic properties of Portuguese as second language;
- prosody and the expression of emotions;
- visual prosody;
- the prosody of signed languages;
- the role of prosody for the linguistic processing (of spoken or written modalities);
- perception of prosody;
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We encourage the submission of papers using experimental methods, targeting a broad reader, and envisaging the application to other research areas, such as first/second language learning, computational linguistics, speech therapy, among others.
Paper preparation guidelines:
Papers must conform to the format defined in D.E.L.T.A. guidelines. Please ***use the journal?s template file***, attached to this message. Before submitting your paper, make sure it strictly follows all the journal requirements, which can be checked at the journal?s website (https://revistas.pucsp.br/index.php/delta/about/submissions).
The main text, written in English, should have up to 8000words and be preceded by an abstract of around 100 words in English and Portuguese, and 3-5 keywords, also in both languages. Please ensure that your paper is proofread by a native English speaker before submission.
Paper submission procedure:
Papers must be submitted in .doc/.docx format, by sending an e-mail to the guest editors: prosody.interfaces@gmail.com
Since papers will undergo a blind peer review process, please make sure that your file is anonymous and that it does not contain any revealing information on its authorship (e.g., the section devoted to the Acknowledgements, if any, should be left incomplete).
Important dates:
Submission deadline: ***November 15, 2021***
Notification acceptance: until February 28, 2022
Submission of a revised version: March 31, 2022
Contact:
For any question related with the submission procedure to this special issue, please contact us at prosody.interfaces@gmail.com
Looking forward to your submissions,
The Guest Editors
Carolina Serra (UFRJ, Brazil), Flaviane Svartman (USP, Brazil) and Marisa Cruz (University of Lisbon, Portugal)
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Marisa Cruz
Investigadora | Researcher
Membro da Equipa Editorial do Journal of Portuguese Linguistics | Associate Editor of the Journal of Portuguese Linguistics
Laboratório de Fonética e Fonologia & Lisbon BabyLab (CLUL/FLUL)
Phonetics and Phonology Lab & Lisbon BabyLab (CLUL/FLUL)
http://labfon.letras.ulisboa.pt/English/marisa_cruz.htm
Faculdade de Letras da Universidade de Lisboa | School of Arts and Humanities
Alameda da Universidade 1600-214 Lisboa PORTUGAL
Telefone: 217 920 000 | www.letras.ulisboa.pt | http://labfon.letras.ulisboa.pt/babylab/
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| 7-9 | Languages: Special issue title: Advances in Phonetic Sciences: Role of Speech Corpora and Automatic Processing
Special Issue title:
Advances in Phonetic Sciences: Role of Speech Corpora and Automatic Processing
Guest Editors:
Prof. Dr. Ioana Vasilescu
LISN/CNRS, UMR 9015, Université Paris-Saclay, 91405 Orsay, France
Interests: large scale corpora; phonetic variation; language change
Dr. Yaru Wu
1. CRISCO/EA4255, Université de Caen Normandie, 14000 Caen, France
2. LISN/CNRS, UMR 9015, Université Paris-Saclay, 91405 Orsay, France
3. Laboratoire de Phonétique et Phonologie, UMR 7018, CNRS-Sorbonne Nouvelle, 75005 Paris, France.
Interests: large corpora phonetics; variation in continuous speech; second language acquisition
Dr. Mathilde Hutin
LISN/CNRS, UMR 9015, Université Paris-Saclay, 91405 Orsay, France
Interests: phonetic variation in large scale corpora; fine phonetic details; phonology of romance languages
Special Issue Information
Dear Colleagues,
We are pleased to announce a call for papers for a Special Issue on ?Advances in Phonetic Sciences: The role of Speech Corpora and Automatic Processing?.
This Special Issue aims to bring together recent research on advances in speech corpora and to better comprehend the current status and challenges in the construction and analysis of spoken corpora.
During the past few decades, we have witnessed an increasing collaboration between linguistics and speech technology communities (Bradlow et al., 2011; Ernestus and Warner, 2011; Coleman et al., 2011). For instance, on the linguistic side, this collaboration has resulted mainly in an increasing integration of methods, tools and corpora from speech technologies into the analytical practices of linguistic domains such as phonetics and laboratory phonology. In particular, the automatic or semi-automatic analysis of large collections of spoken data are impacting phonetic sciences. These analyses have allowed us to test classical theoretical issues from a different perspective, and they have greatly facilitated the work of linguists (Liberman, 2019). On the speech technology side, in-depth explorations of speech reduction phenomena helped to improve pronunciation dictionaries for speech recognition systems (Adda-Decker and Lamel, 2018; Vasilescu et al., 2018).
In this Special Issue, we would like to address different demands and interactions between linguistics (with a particular focus on phonetics and laboratory phonology research) and computer science. We also aim to provide a state of the art on corpus construction and publication, technological processing of corpora, ecological use of corpora gathered for a specific purpose by other scholars and data sharing in general, and benefits for real-world applications of advances in speech corpus construction and analysis. Special emphasis will be placed on the relevance of multidisciplinarity in spoken data creation, analysis and sharing, and on collaborations among different research disciplines. We welcome submissions on advances in speech corpus covering technological and/or linguistic aspects.
We request that, prior to submitting a manuscript, interested authors initially submit a proposed title and an abstract of 400?600 words summarizing their intended contribution. Please send it to the Guest Editors (ioana.vasilescu@lisn.upsaclay.fr, yaru.wu@sorbonne-nouvelle.fr, mathilde.hutin@lisn.upsaclay.fr) or to the Languages Editorial Office (languages@mdpi.com). Abstracts will be reviewed by the Guest Editors for the purposes of ensuring proper fit within the scope of the Special Issue. Full manuscripts will undergo double-blind peer review.
The tentative completion schedule is as follows:
* Abstract submission deadline: 15 November 2021
* Notification of abstract acceptance: 15 December 2021
* Full manuscript deadline: 15 April 2022
List of references:
Adda-Decker, M., & Lamel, L. (2018). 4. Discovering speech reductions across speaking styles and languages. In Rethinking Reduction. De Gruyter Mouton, pp. 101?128
Bradlow, A. R., Guion-Anderson, S., & Polka, L. (2011). Cross-language Speech Perception and Variations in Linguistics Experience. C. T. Best (Ed.). Elsevier.
Coleman, J., Liberman, M., Kochanski, G., Burnard, L., & Yuan, J. (2011). Mining a year of speech. VLSP 2011: New tools and methods for very-large-scale phonetics research, 16?19.
Ernestus, M., & Warner, N. (2011). An introduction to reduced pronunciation variants. Journal of Phonetics, 39(SI), 253?260.
Liberman, M. Y. (2019). Corpus phonetics. Annual Review of Linguistics, 5, 91?107.
Vasilescu, I., Wu, Y., Jatteau, A., Adda-Decker, M., & Lamel, L. (2020). Alternances de voisement et processus de lénition et de fortition: une étude automatisée de grands corpus en cinq langues romanes. Traitement Automatique des Langues (TAL), 3, pp. 11?36
Prof. Dr. Ioana Vasilescu
Dr. Yaru Wu
Dr. Mathilde Hutin
Guest Editors
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| 7-10 | CfP TAL Journal, Special issue on 'Cross/multimodal NLP'
Call for Papers
TAL Journal, Special issue on 'Cross/multimodal NLP'
Submission deadline: 28 February 2022
Natural language is not limited to the written modality. It includes and interacts with many others. On the one hand, a message can be conveyed through other language modalities, including audio (speech), gestures and facial expressions (sign language or completed speech). It may also be accompanied by social attitudes and non-verbal dimensions, including signs of affect, spontaneity, pathology, co-adaptation with dialogue participants, etc. Natural language processing (NLP) is thus a joint processing of multiple information channels. On the other hand, natural language is often used to describe concepts and denote entities that are essentially multimodal (description of an image, an event, etc.). Many problems then require bridges between different modalities.
The objective of this special issue of the journal TAL is to promote NLP in multimodal contexts (several modalities contribute to the resolution of a problem) or inter-modal contexts (passage from one modality to another). Thus, the contributions expected for this special issue are, among others (but not exclusively), in the following fields of application:
- multimodal dialogue, multimodal question-answering ;
- sign language, completed spoken language ;
- speech processing, automatic speech recognition, speech synthesis in multimodal contexts;
- synthesis of animated emotional agents;
- handwriting recognition and analysis of handwritten documents;
- understanding, translation and summarisation of multimodal documents;
- indexing, search and mining of multimedia and/or multimodal documents;
- biological signal processing, computational psychology or sociology, for NLP;
- inter-/multimodal human-computer interface for NLP;
- other multimodal or inter-modal applications (automatic image captioning, image-to-text generation, generation/analysis of songs and lyrics, etc.).
In the face of the predominance of work on written language processing and the historical compartmentalisation of communities specific to each modality (image processing, signal processing, neuroscience, etc.), authors are encouraged to highlight the specificities (benefits, difficulties, perspectives, etc.) linked to inter- or multimodality in their work, for instance concerning:
- understanding the interactions between modalities
- harmonisation or compatibility of representations
- the development of joint models or transfer from one modality to another;
- the constitution (or even annotation) of multimodal resources;
- etc.
IMPORTANT DATES
- Abstract submission deadline: 28 February 2022
- Full paper submission deadline: 14 March 2022
- Notification to authors, first review: 1 June 2022
- Notification to authors, second review: 1 September 2022
- Publication: November 2022
LANGUAGE
Manuscripts may be submitted in English or French. If all authors are French speakers, they are requested to submit their contributions in French.
FORMAT
Papers must be between 20 and 25 pages, references and appendices included (no length exemptions are possible). Authors who intend to submit a paper are encouraged to click the menu item 'Paper submission' (PDF format).
To do so, they will need to have an account, or create it, on the sciencesconf platform (go to http://www.sciencesconf.org and click on 'create account' next to the 'Connect' button at the top of the page). To submit, come back to the page https://tal-63-2.sciencesconf.org/ , connect to the account and upload the submission.
From now on, TAL will perform double-blind review: it is thus necessary to anonymize the manuscript and the name of the pdf file.
ABOUT THE JOURNAL
Traitement Automatique des Langues (TAL, “Natural Language Processing”) is an international journal published by ATALA (French Association for Natural Language Processing) since 1960 with the support of the CNRS (French National Centre for Scientific Research). It has moved to an electronic mode of publication, with printing on demand. This has no impact however on the reviewing and selection process.
EDITORIAL BOARD
Guest editors:
- Gwénolé Lecorvé (Orange)
- John D. Kelleher (TU Dublin)
Members (under development):
- Loïc Barrault (U. Le Mans)
- Marion Blondel (CNRS)
- Chloé Clavel (Telecom Paris)
- Camille Guinaudeau (U. Paris Saclay)
- Hervé Le Borgne (CEA)
- Damien Lolive (U. Rennes 1)
- Slim Ouni(U. Lorraine)
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| 7-11 | IEEE JSTSP Special issue on Self-Supervised Learning for Speech and Audio Processing
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There is a trend in the machine learning community to adopt self-supervised approaches to pre-train deep networks.
Self-supervised learning utilizes proxy supervised learning tasks, for example, distinguishing parts of the input signal
from distractors, or generating masked input segments conditioned on the unmasked ones, to leverage data from
unlabeled corpora. These approaches make it possible to use a tremendous amount of unlabeled data available on
the web to train large networks to extract high-level, informative, and compact features from raw inputs. Then for
downstream applications, a simple task-specific model is added on top of the self-supervised model. The self-supervised
model can serve as a feature extractor or be fine-tuned with the task-specific model.
Recently self-supervised approaches for speech and audio processing are gaining attention. This special issue will
bring the works on self-supervision for the field of speech and audio processing. Alongside research work on new
self-supervised methods, data, applications, and results, this special issue will call for novel work on understanding,
analyzing, and comparing different self-supervision approaches for speech and audio processing. We welcome
the submission of the work on, but not limited to, the following research directions:
Topics of interest in this special issue include (but are not limited to):
- New self-supervised proxy tasks for speech and audio processing.
- New approaches to use self-supervised models in speech and audio processing tasks.
- Compare the similarities and differences of self-supervised learning approaches.
- Theoretical or empirical studies on understanding why self-supervision methods work.
- Exploring the limits of self-supervised learning approaches for speech and audio processing,
- for example, universal pre-trained model for multiple downstream tasks, environment conditions,
- or languages.
- Self-supervised learning approaches involving the interaction of speech and other modalities.
- Comparison or integration of self-supervised learning methods and other semi-supervised and transfer
- learning methods.
Submission Guidelines
Prospective authors should visit the IEEE JSTSP webpages for information on paper submission.
Manuscripts should be submitted using the Manuscript Central system according to the schedule below.
Manuscripts will be peer-reviewed according to the standard IEEE process.
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| 7-12 | Open Journal for Modern Linguistics. Special issue:Speech, Language and Communication
Open Journal of Modern Linguistics (OJML)
Impact Factor: 1.27; h5-index: 12; Downloads> 1,277,208; Published Articles: 441; Citations: 2090; Downloads/article: 2896.2; Citations/article: 4.8 |
Special Theme: Speech, Language and Communication
Submission Deadline: January 12th, 2022; Publication Date: March 2022
Reviewers? feedback: About 7 days after submission
Publishing Duration: one month or so upon submission |
| Seek for Papers |
This is a letter concerning the upcoming special issue on 'Speech, Language and Communication', which is in Open Journal of Modern Linguistics (OJML). You are cordially invited to submit or recommend related articles. We believe that your invaluable experience and insights as a scholar in the area will be enlightening to our readers.
If you have related papers ready for publication, please feel free to submit them to submit@openaccessj.com (kindly indicate the name of special issue in your email).
You could visit the journal website by searching OJML 2164 2834. |
Topics to Be Covered (not limited to):
? Children's speech and language
? Communication impairment
? Communicative disorders
? Developmental speech and language problems
? Fluency in conversation
? Language and speech disorders
? Reading and writing skills
? Social etiquette during conversation
? Speech and language development
? Speech language and literacy |
Fresh Article Sharing
About Transformation Formulas of the Most Ancient Roots in Eurasian Languages
Kapar Zulpukarov, Semetei Amiraliev, Gulzat Aipova, Aida...
DOI: 10.4236/ojml.2021.116070 21 Downloads 105 Views
The Application of Formative Evaluation Strategies in College English Classroom from the Perspective of Teacher Questioning
Xiaoping Mai
DOI: 10.4236/ojml.2021.116067 23 Downloads 97 Views |
Truly yours,
Prof. Wayne A. Davis (Georgetown University, USA)
OJML Editorial Office
E-mail: papersubmissionyun@gmail.com |
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