LSE_Lex40_UVIGOuna base de datos específicamente diseñada para el desarrollo de tecnología de reconocimiento automático de LSE

  1. Torres Guijarro, Soledad 1
  2. García Mateo, Carmen 1
  3. Cabeza Pereiro, Carmen 2
  4. Docío Fernández, Laura 1
  1. 1 Grupo de Tecnologías Multimedia, AtlanTTic Research Center, Universidade de Vigo
  2. 2 Grupo GRADES, Universidade de Vigo
Journal:
REVLES: Revista de estudios de lenguas de signos

ISSN: 2695-4133

Year of publication: 2020

Issue: 2

Pages: 156-177

Type: Article

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More publications in: REVLES: Revista de estudios de lenguas de signos

Abstract

Automatic speech recognition can be considered a viable and mature technology. Many applications facilitating communication between people, and between humans and machines, are based on it. However, the automatic recognition of sign languages is not as advanced as that of spoken languages; if it were, Deaf people could communicate with someone who does not know sign language without an interpreter, gaining privacy and independence. And they could make use of automated video-controlled systems that recognize their instructions in an inclusive, quick and mobile way, similarly to how hearing people access voice-controlled systems. The GRADES and GTM research groups at the University of Vigo intend to advance in the development of an automatic recognizer for Spanish sign language (LSE) based on image recognition. From the review of the state of the art, it is concluded the need to develop an LSE database specifically designed for this purpose. The complexity of this task makes it advisable to approach it incrementally, for which we propose the goal of developing a recording methodology that allows the database to grow in size and complexity over time. This methodology includes the selection of the lexicon, the design of the recording station, the data storage structure, the computer programs for managing the video database and the associated metadata, and the protection of personal data of the signers. An initial version of the database, called LSE_Lex40_UVIGO, is made up of multiple repetitions of 40 isolated signs in LSE, carried out by different signers. This first version of the database will be useful for us to develop an isolated sign recognizer in diverse environments and independently of the user, and to demonstrate the usefulness of the acquisition methodology described in this contribution.

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