ISCA - International Speech
Communication Association


ISCApad Archive  »  2021  »  ISCApad #275  »  Journals

ISCApad #275

Thursday, May 13, 2021 by Chris Wellekens

7 Journals
7-1Special issue on Voice Privacy, Computer, Speech and Language
COMPUTER SPEECH AND LANGUAGE
 
Special issue on Voice Privacy  
 
Deadline: January 31, 2021
 
Recent years have seen mounting calls for the preservation of privacy when treating personal data. Speech falls within that scope because it encapsulates a wealth of personal information that can be revealed by listening or by automatic speech analysis and recognition systems. This includes, e.g., age, gender, ethnic origin, geographical background, health or emotional state, political orientations, and religious beliefs, among others. In addition, speaker recognition systems can reveal the speaker?s identity. It is thus of no surprise that efforts to develop privacy preservation solutions for speech technology are starting to emerge.
 
A few studies have tackled the formal definition of privacy preservation, the provision of suitable datasets, and the design of evaluation protocols and metrics based on user and attacker models. Other studies have addressed the development of privacy preservation methods which maximize the utility for users while defeating attackers. Current methods fall into four categories: deletion, encryption, anonymization, and distributed learning. Deletion methods aim to delete or obfuscate speech based on speech enhancement or privacy-preserving feature extraction for ambient sound analysis purposes. Encryption methods such as fully homomorphic encryption and secure multiparty computation can be used to implement all computations in the encrypted domain. Anonymization methods aim to suppress personal information but retain other information by means of noise addition, speech transformation, voice conversion, speech synthesis, or adversarial learning. Decentralized or federated learning methods aim to learn models (for, e.g., keyword spotting) from distributed data without accessing individual data points nor leaking information about them in the models.
 

This special issue solicits papers describing advances in privacy protection for speech processing systems, including theoretical developments, algorithms or systems.

Examples of topics relevant to the special issue include (but are not limited to):
  • formal models of speech privacy preservation,
  • privacy-preserving speech feature extraction,
  • privacy-driven speech deletion or obfuscation,
  • privacy-driven voice conversion,
  • privacy-driven speech synthesis and transformation,
  • privacy-preserving decentralized learning of speech models,
  • speech processing in the encrypted domain,
  • open resources, e.g., datasets, software or hardware implementations, evaluation recipes, objective and subjective metrics.
 
Submission instructions: 

Manuscript submissions shall be made through: https://www.editorialmanager.com/YCSLA/.

The submission system will be open early October. When submitting your manuscript please select the article type ?VSI: Voice Privacy?. Please submit your manuscript before the submission deadline.

All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal?s homepage https://www.elsevier.com/locate/csl.

 
Important dates:

January 8, 2021: Paper submission
May 7, 2021: First review
July 9, 2021: Revised submission
September 10, 2021: Final decision
October 8, 2021: Camera-ready submission

 
Guest Editors:
Emmanuel Vincent, Inria
Natalia Tomashenko, Avignon Université
Junichi Yamagishi, National Institute of Informatics and University of Edinburgh
Nicholas Evans, EURECOM
Paris Smaragdis, University of Illinois at Urbana-Champaign
Jean-François Bonastre, Avignon Université
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7-2Call for Papers: IEEE/ACM TASLP Special Issue on the Eighth Dialog System Technology Challenge
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Call for Papers: IEEE/ACM TASLP Special Issue on the Eighth Dialog System Technology Challenge
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The Dialog System Technology Challenge (DSTC) is an ongoing series of research competitions for dialog systems. To accelerate the development of new dialog technologies, the DSTCs have provided common testbeds for various research problems. The Eighth Dialog System Technology Challenge (DSTC8) consists of the following four main tracks including two newly introduced tasks and two followup tasks of DSTC7.
 
  1. Multi-domain task-completion track addresses the end-to-end response generation problems in multi-domain task completion and cross-domain adaptation scenarios. 
  2. NOESIS II: Predicting Responses, Identifying Success, and Managing Complexity in Task-Oriented Dialogue explores a response selection task extending the first NOESIS track in DSTC7 and offers two additional subtasks for identifying task success and disentangling conversations. 
  3. Audio visual scene-aware dialog track is another follow-up track of DSTC7 which aims to generate dialog responses using multi-modal information given in an input video. 
  4. Schema-guided dialog state tracking revisits dialog state tracking problems in a practical setting associated with a large number of services/APIs required to build virtual assistants in practice.
This special issue will host work on any of the DSTC8 tasks. Papers may describe entries in the official DSTC8 challenge, or any research utilizing DSTC8 datasets irrespective of the participation in the official challenge. We also welcome papers that analyze the DSTC8 tasks or results themselves. Finally, we also invite papers on previous DSTC tasks as well as general technical papers on any dialog-related research problems.
 
You can get the author guide from the following link: https://signalprocessingsociety.org/publications-resources/information-authors
 
For any query regarding this special issue please contact seokim@dstc.community.
 
 
Important Dates
  • Manuscript submission date: August 15, 2020 
  • First Review Completed: October 15, 2020 
  • Revised Manuscript Due: November 30, 2020 
  • Second Review Completed: January 15, 2021 
  • Final Manuscript Due: February 28, 2021 
  • Expected publication date: May 2021
 
Guest Editors
  • Seokhwan Kim, Amazon Alexa AI, USA
  • Hannes Schulz, Microsoft Research Montreal, Canada 
  • Chulaka Gunasekara, IBM Research AI, USA 
  • Chiori Hori, Mitsubishi Electric Research Laboratories (MERL), USA 
  • Abhinav Rastogi, Google Research, USA 
  • Luis Fernando D'Haro, Universidad Politécnica de Madrid (UPM), Spain
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7-3TAL Journal, Special issue on Natural Language Processing

Call for submission: http://tal-62-1.sciencesconf.org/ (page soon available)
TAL Journal: regular issue
2021 Volume 62-1
Editors : Cécile Fabre, Emmanuel Morin, Sophie Rosset and Pascale Sébillot

Deadline for submission: 12/15/2020

--

TOPICS
The TAL journal launches a call for papers for an open issue of the journal. We invite papers in any field of natural language processing, including:
- lexicon, syntax, semantics, discourse and pragmatics;
- morphology, phonology and phonetics;
- spoken and written language analysis and generation;
- logical, symbolic and statistical models of language;
- information extraction and text mining;
- multilingual processing, machine translation and translation tools;
- natural language interfaces and dialogue systems;
- multimodal interfaces with language components;
- language tools and resources;
- system evaluation;
- terminology, knowledge acquisition from texts;
- information retrieval;
- corpus linguistics;
- use of NLP tools for linguistic modeling;
- computer assisted language learning;
- applications of natural language processing.
Whatever the topic, papers must stress the natural language processing aspects.

'Position statement' or 'State of the art' papers are welcome.

LANGUAGE
Manuscripts may be submitted in English or French. Submissions in English are accepted only if one of the co-authors is a non French-speaking person.

THE JOURNAL
TAL (http://www.atala.org/revuetal - Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing) since 1960 with the support of CNRS (National Centre for Scientific Research). It has moved to an electronic mode of publication.

IMPORTANT DATES
Deadline for submission: 12/15/2020
Notification to authors after first review: 03/15/2021
Notification to authors after second review: 05/31/2021
Publication: October, 2021


FORMAT SUBMISSION
Papers should strictly be between 20 and 25 pages long.
TAL performs double-blind review: it is thus necessary to anonymise the manuscript and the name of the pdf file and to avoid self references.


Style sheets are available for download on the Web site of the journal (http://www.atala.org/content/instructions-aux-auteurs-feuilles-de-style-0).

Authors who intend to submit a paper are encouraged to upload your contribution via the menu 'Paper submission' (PDF format). To do so, you will need to have an account on the sciencesconf platform. To create an account, go to the site 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 (soon available) http://tal-62-1.sciencesconf.org/, connect to you account and upload your submission.
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7-4Call for Papers: Data, Replicability and Reproducibility in Linguistics in Revista da Abralin

 

Call for Papers: Data, Replicability and Reproducibility in Linguistics

For scientific theories based on empirical data, reproducibility and replicability are central principles, for at least two reasons. First, unless we accept that scientific theories rest on the authority of a small number of researchers, empirical studies should be reproducible, in the sense that their methods and procedures should be carefully documented and relevant data should be made available so that other researchers to conduct the same study and obtain the same results. Second, for empirical results to provide a solid basis for scientific theorisation, they should also be replicable in the sense that most attempts to reproduce the original study using similar data and methods would produce results similar to those presented in the original study.

 Although science depends on replicability and reproducibility, works aimed at replicating impact studies are quite rare due to the emphasis academia places on novelty: editors and reviewers of journals usually value original research higher than replication studies. Likewise, editors and reviewers value the presentation of empirical data (and significant findings) higher than, for example, the presentation of raw data such as annotated speech corpora and similar documentations.

 We are organizing a special issue for Revista da Abralin whose objective is to gather articles that contribute to the central principle of replication / reproduction of experimental studies in the area of linguistics. The focus should be on impact studies, i.e. studies that were or still are frequently cited well beyond the authors' own citation circles, not necessarily only those studies that directly led to influential theories).

Three types of submissions are welcome.

  1. Submissions that focus entirely on replication/reproduction. When designing such studies, authors are encouraged to work in collaboration with those author(s) of the original study to ensure that replication follows as closely as possible the original methods.
  2. Submissions that replicate a key aspect of a previous study and then add an own original piece of work on top, for example, in order to explain why the previous results could not be replicated or in order to advance or substantiate the previous results. This can be done by applying a different (measuring) method, by using different speaker or listener samples (e.g., with respect to language, age, or gender), or by following up on one of the open questions raised by the author(s) in the previous study.
  3. Submissions that present a speech, gesture, or language-data corpus and that make this resource available to the linguistics community.

All papers submitted to this special issue of Revista da Abralin should be pre-registered on the Open Science Framework website (https://osf.io/).

Submission deadline: December 31, 2020

Submission link: http://revista.abralin.org/index.php/abralin/submission/wizard

Author Guidelines and Submission Preparation Checklist are available here: http://revista.abralin.org/index.php/abralin/about/submissions

Guest Editors:

Miguel Oliveira, Jr. (Universidade Federal de Alagoas)

Oliver Niebuhr (University of Southern Denmark)

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7-5CfP Computer, Speech and Language, Special Issue on Separation, 'Recognition, and Diarization of Conversational Speech'
Call for papers
 
Computer Speech and Language
 
Special Issue on Separation, Recognition, and Diarization of Conversational Speech

https://www.journals.elsevier.com/computer-speech-and-language/call-for-papers/call-for-papers-computer-speech-and-language-special-issue

 
Submission deadline: December 15, 2020
 
 
While great advances have been made in conversational automatic speech recognition in recent years, several fundamental problems remain before the goal of a richly annotated transcript of speech and speakers can be realized. The current special issue invites papers to discuss the robustness of speech processing in everyday environments, i.e., real-world conditions with acoustic clutter, where the number and nature of the sound sources is unknown and changing over time.
 
Relevant research topics include (but are not limited to):
  • Speaker identification and diarization
  • Speaker localization and beamforming
  • Single- or multi-microphone enhancement and separation
  • Robust features and feature transforms
  • Robust acoustic and language modeling
  • Traditional or end-to-end robust speech recognition
  • Training schemes: data simulation and augmentation, semi-supervised training
  • Robust speaker and language recognition
  • Robust paralinguistics
  • Cross-environment or cross-dataset performance analysis
  • Environmental background noise modelling.
In addition to traditional research papers, the special issue also hopes to include descriptions of successful conversational speech recognition systems where the contribution is more in the implementation than the techniques themselves as well as successful applications of conversational speech recognition systems.

The recently concluded sixth CHiME challenge serves as a focus for discussion in this special issue. The challenge considered the problem of conversational speech recognition and diarization in everyday home environments from multiple distant microphone arrays. It used a resychronized version of the Dinner Party speech data featured in CHiME-5 and added a new joint diarization and ASR task. Papers reporting evaluation results on the CHiME-6 dataset or on other datasets are equally welcome.


Submission instructions

Manuscript submissions shall be made through: https://www.editorialmanager.com/YCSLA/.

The submission system will be open in November. When submitting your manuscript please select the article type ?VSI:SeparateRecognizeDiarize?. Please submit your manuscript before the submission deadline.

All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV

Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal?s homepage https://www.elsevier.com/locate/csl.


Important dates:
  • Submission opens: November 16, 2020
  • Submission deadline: December 15, 2020
  • Acceptance deadline: September 1, 2021
  • Expected publication date: November 1, 2021

Guest editors
  • Michael Mandel, Brooklyn College, CUNY
  • Jon Barker, University of Sheffield
  • Jun Du, University of Science and Technology of China
  • Leibny Paola Garcia, Johns Hopkins University
  • Emmanuel Vincent, Inria
  • Shinji Watanabe, Johns Hopkins University
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7-6Special issue of Brain Sciences: 'Motor Speech Disorders and Prosody'
Submissions are open for the Brain Sciences Special Issue entitled 'Motor Speech Disorders and Prosody', guest edited by Anja Lowit, Sónia Frota and Marina Vigário.
 
Manuscript submissions will be accepted until March 20, 2021.
Detailed information can be found at the Special Issue website: https://www.mdpi.com/journal/brainsci/special_issues/Motor_Speech_Disorders
Please kindly help us to spread the word.
 
Looking forward to your contributions,
Sónia Frota (and Anja Lowit and Marina Vigário)
 

 

Sónia Frota
Professora catedrática | Professor
Coordenadora Científica - CLUL | Scientific Coordinator - CLUL
Centro de Linguística da Universidade de Lisboa | Center of Linguistics of the University of Lisbon (CLUL)
 
 
https://www.researchgate.net/profile/Sonia_Frota2 
 


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 
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7-7CfP 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

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

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
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7-8CfP IEEE Trans. on Multimedia (TMM) Special issue on Learning from Noisy Multimedia Data

Call for Papers
IEEE Transactions 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

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

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
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7-9CfP. 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:

  • Speech and language technologies for augmentative and alternative communication (AAC);

  • Silent speech interfaces;

  • Voice conversion (VC) and text-to-speech (TTS) assistive communication systems;

  • Automatic speech recognition for people with speech impairments;

  • Diagnosis and monitoring of voice disorders and other respiratory diseases;

  • Speech-based diagnosis and assessment of neurological disorders;

  • Personalization of speech tools for people with speech impairments;

  • Voice banking initiatives;

  • 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:

  • Submission opens: January 1, 2021

  • Submission deadline: July 31, 2021

Guest editors:

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7-10Language 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.


  • 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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7-11TAL 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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7-12Prosody, The Journal of Speech Sciences (open access journal)

The Journal of Speech Sciences, an open access journal, welcomes submissions relating to prosody.  

Call for Submissions

Journal of Speech Sciences <http://revistas.iel.unicamp.br/joss>
The Journal of Speech Sciences (JoSS) is an open access journal which follows the principles of the Directory of Open Access Journals (DOAJ), meaning that its readers can freely read, download, copy, distribute, print, search, or link to the full texts of any article electronically published in the journal. It is accessible at <http://revistas.iel.unicamp.br/joss>.

JoSS covers experimental aspects that deal with scientific aspects of speech, language and linguistic communication processes. Coverage also includes articles dealing with pathological speech, or articles of an interdisciplinary nature, provided that experimental and linguistic principles underlie the work reported. Experimental approaches are emphasized in order to stimulate the development of new methodologies, of new annotated corpora, of new techniques aiming at fully testing current theories of speech production, perception, as well as phonetic and phonological theories and their interfaces.

Recently, JoSS was redesigned to follow all international standards for Open Access journals, including a DOI for all papers, retroactively, and the web site improved to support faster skimming.
We call on potential authors to submit original, previously unpublished contributions to JoSS. The primary language of the journal is English, but contributions in Portuguese and in French are also accepted, provided an abstract and a title in English are given.

Main Scientific Editor
Plinio A. Barbosa (University of Campinas, Brazil) E-mail: pabarbosa.unicampbr@gmail.com

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