Development of a Linguistic Conversion System from Audio to Hologram

María Rodríguez, Michael Rivera, William Oñate, Gustavo Caiza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The sign language becomes the means to express ideas in society for the deaf community, still the conflict arises when speakers do not understand this form of communication, generating isolation between the parties. Therefore, this paper plans the development of a system of linguistic conversion from audio to hologram for the Ecuadorian sign language; it will allow a person to learn sign language in a friendly way for which he or she must say a word in a microphone, and by programming an algorithm in a microcomputer it will activate a holographic reproduction to visualize how certain essential terms of the Spanish language defined in a database are optimized. In this way, a system that will help the learning of Ecuadorian sign language is obtained thanks to technological resources. For the design of the application, three-dimensional images were generated, and the effectiveness of voice to hologram translation was measured with 96.09% of success.

Original languageEnglish
Title of host publicationAdvances in Emerging Trends and Technologies - Proceedings of ICAETT 2020
EditorsLap-Kei Lee, Leong Hou U, Fu Lee Wang, Simon K. Cheung, Oliver Au, Kam Cheong Li
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783030636647
StatePublished - 2021
Event2nd International Conference on Advances in Emerging Trends and Technologies, ICAETT 2020 - Riobamba, Ecuador
Duration: 26 Oct 202030 Oct 2020

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


Conference2nd International Conference on Advances in Emerging Trends and Technologies, ICAETT 2020

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Holography
  • Sign language
  • Speech recognition


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