Special Issue "IberSPEECH 2022: Speech and Language Technologies for Iberian Languages"

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

Deadline for manuscript submissions: 31 May 2023 | Viewed by 764

Special Issue Editors

Prof. Dr. Francesc Alías
E-Mail Website
Guest Editor
Grup de recerca en Tecnologies Mèdia (GTM), La Salle—Universitat Ramon Llull, 8022 Barcelona, Spain
Interests: speech processing; speech analysis and synthesis; voice production; expressive speech; Human-Computer Interaction; acoustic event detection; acoustic signal processing; machine listening; real-time noise monitoring; impact of noise events; real-life acoustic datasets; wireless acoustic sensor networks
Special Issues, Collections and Topics in MDPI journals
Dr. José Luis Pérez Córdoba
E-Mail Website
Guest Editor
SigMAT Research Group, Universidad de Granada, 18071 Granada, Spain
Interests: signal processing; speech processing; speech coding; robust multimedia signals transmission; silent speech processing/interfaces; join source-channel coding and applications; communication
Dr. Zoraida Callejas Carrión
E-Mail Website
Guest Editor
SISDIAL Research Group, Universidad de Granada, 18071 Granada, Spain
Interests: dialogue systems; conversational systems; dialogue management; speech and language technologies; affective computing; emotion recognition
Special Issues, Collections and Topics in MDPI journals
Dr. António Joaquim da Silva Teixeira
E-Mail Website
Guest Editor
BIT – Biomedical Informatics and Technologies, Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: speech processing; speech synthesis; speech production studies; dialog Systems; human-computer interaction; multimodal interaction; silent speech interfaces; natural language processing; evaluation of auditive processing; pervasive assistance; smart environments; development for all; computer application in health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

IberSPEECH 2022 will be held in Granada (Spain), from 14 to 16 November 2022. The IberSPEECH event—the sixth of its kind under this name—brings together the XII Jornadas en Tecnologías del Habla and the VIII Iberian SLTech Workshop events. The conference provides a platform for scientific and industrial discussion and exchange around Iberian languages, with the following main topics of interest:

  • Speech technology and applications;
  • Human speech production, perception, and communication;
  • Natural language processing and applications;
  • Speech, language, and multimodality;
  • Resources, standardization, and evaluation.

The main goal of this Special Issue is to present the latest advances in research and novel applications of speech and language processing, paying special attention to those focused on Iberian languages. We invite researchers interested in these fields to contribute to this issue, which covers all fields of IberSPEECH 2022 http://iberspeech2022.ugr.es/call-for-papers. For those papers selected from the conference, the authors are asked to fulfill what is indicated in the instructions for “Preprints and Conference Papers” of this journal: https://www.mdpi.com/journal/applsci/instructions#preprints.

Prof. Dr. Francesc Alías
Dr. José Luis Pérez Córdoba
Dr. Zoraida Callejas Carrión
Dr. António Joaquim da Silva Teixeira
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 2300 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

  • speech technology and applications
  • human speech production, perception, and communication
  • natural language processing and applications
  • speech, language, and multimodality
  • resources, standardization, and evaluation

Published Papers (1 paper)

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Research

Article
Attentional Extractive Summarization
Appl. Sci. 2023, 13(3), 1458; https://doi.org/10.3390/app13031458 - 22 Jan 2023
Viewed by 295
Abstract
In this work, a general theoretical framework for extractive summarization is proposed—the Attentional Extractive Summarization framework. Although abstractive approaches are generally used in text summarization today, extractive methods can be especially suitable for some applications, and they can help with other tasks such [...] Read more.
In this work, a general theoretical framework for extractive summarization is proposed—the Attentional Extractive Summarization framework. Although abstractive approaches are generally used in text summarization today, extractive methods can be especially suitable for some applications, and they can help with other tasks such as Text Classification, Question Answering, and Information Extraction. The proposed approach is based on the interpretation of the attention mechanisms of hierarchical neural networks, which compute document-level representations of documents and summaries from sentence-level representations, which, in turn, are computed from word-level representations. The models proposed under this framework are able to automatically learn relationships among document and summary sentences, without requiring Oracle systems to compute the reference labels for each sentence before the training phase. These relationships are obtained as a result of a binary classification process, the goal of which is to distinguish correct summaries for documents. Two different systems, formalized under the proposed framework, were evaluated on the CNN/DailyMail and the NewsRoom corpora, which are some of the reference corpora in the most relevant works on text summarization. The results obtained during the evaluation support the adequacy of our proposal and suggest that there is still room for the improvement of our attentional framework. Full article
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