Speech Recognition and Natural Language Processing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 362

Special Issue Editors


E-Mail Website
Guest Editor
Department of Computing and Mathematics, Faculty of Science and Engineering, University of Derby, Derby DE22 1GB, UK
Interests: artificial intelligence (AI); natural language processing (NLP)

E-Mail Website
Guest Editor
Department of Computing and Mathematics, Faculty of Science and Engineering, University of Derby, Derby DE22 1GB, UK
Interests: artificial intelligence; natural language processing (NLP)

Special Issue Information

Dear Colleagues,

Speech Recognition (SR) and Natural Language Processing (NLP) have emerged as two of the most transformative fields in artificial intelligence. This Special Issue aims to explore the latest advancements and challenges in the interdisciplinary fields of Speech Recognition (SR) and Natural Language Processing (NLP). As the demand for intelligent systems capable of understanding and processing human language continues to rise, researchers are increasingly focusing on developing innovative algorithms, models, and applications in these domains. This Special Issue provides a platform for scholars and practitioners to disseminate their cutting-edge research findings, methodologies, and insights, fostering collaboration and driving progress in this dynamically progressive field.

Topics of interest include, but are not limited to, the following:

  • Automatic Speech Recognition (ASR) systems;
  • Natural Language Understanding (NLU) and interpretation;
  • Speech synthesis and generation;
  • Sentiment analysis and opinion mining;
  • Dialogue systems and conversational interfaces;
  • Machine translation and cross-lingual NLP;
  • Voice user interfaces (VUIs) and intelligent assistants;
  • Language modeling and representation learning;
  • End-to-end speech-to-text and text-to-speech systems;
  • Speech and language applications.

We invite original research contributions, review articles, case studies, and surveys that advance the state of the art in Speech Recognition and Natural Language Processing. Submissions should present novel methodologies, experimental results, theoretical insights, or practical applications that contribute to the development and understanding of these critical areas.

Dr Asad Abdi
Prof. Dr. Farid Meziane
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are 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. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • automatic speech recognition
  • natural language understanding
  • sentiment analysis
  • machine translation
  • voice user interfaces
  • speech-to-text
  • text-to-speech
  • dialogue systems
  • conversational AI
  • spoken language understanding
  • language modeling

Published Papers

This special issue is now open for submission.
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