Project Details
Description
This project addresses the limited communication options for deaf individuals in Ecuador due to the general public's low proficiency in Ecuadorian Sign Language (LSE). To promote inclusion and develop assistive technology, the proposal is to create a software application that translates voice or short texts into LSE via a Virtual Avatar. This avatar will be designed in Blender and animated using Unity. The core of the research focuses on interpreting the input text and its subsequent conversion into signs, necessitating the application and evaluation of Natural Language Processing (NLP) tools to identify the correct signs. Furthermore, two algorithms will be utilized to evaluate semantics and syntax, ensuring accurate translation responses. The system's performance will be assessed using the BLEU metric. This technological development aims to bridge the existing communication gap, which is compounded by a shortage of certified interpreters, by providing a real-time translation tool that serves both communication and active LSE learning purposes.<br/><br/><b>Goal</b>: <br/>The main objective of the project is to design and develop a voice-to-Ecuadorian sign language (LSE) translator to improve the social inclusion of deaf people in Ecuador.<br/><br/><b>Research lines</b>: <br/>Human-computer interaction
| Status | Active |
|---|---|
| Effective start/end date | 26/09/24 → … |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Voice-to-Sign Translator
- Ecuadorian Sign Language
- Social Inclusion
- Natural Language Processing
- Virtual Avatar
- Technological Development
- Artificial Intelligence
- 3D Animation
- BLEU Evaluation
CACES Knowledge Areas
- 417A Electronics, Automation and Sound
Categorías UNESCO
- Electronics and automation
Research output
- 5 Conference contribution
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A Proposed Methodology for Semantic Alignment and Specialization of Pre-trained Multilingual Embeddings Using Mixture-of-Experts and Contrastive Learning for Legal Text Retrieval in Ecuador
Martel-Socola, W. I. & Salamea-Palacios, C. R., 2026, Information and Communication Technologies - 13th Ecuadorian Conference, TICEC 2025, Proceedings. Berrezueta, S., Gualotuña, T., Fonseca C., E. R., Rodriguez Morales, G. & Maldonado-Mahauad, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 450-463 14 p. (Communications in Computer and Information Science; vol. 2707 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Evaluating Word Embedding Models in Ecuadorian Legal Texts: A Comparison of CBOW and Skip-Gram for Semantic Analysis
Martel, W. & Salamea, C., 2026, Smart Technologies, Systems and Applications - 4th International Conference, SmartTech-IC 2024, Revised Selected Papers. Narváez, F. R., Villa, M. N. & Díaz, G. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 206-216 11 p. (Communications in Computer and Information Science; vol. 2392 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Development of a Sentiment Analysis System for Chatbot Responses Enhanced with Fuzzy Logic
Salamea-Palacios, C., Martel-Sócala, W. & Arcos-Salamea, E., 2025, Information Technology and Systems, ICITS 2025. Rocha, A., Ferrás, C. & Calvo, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 71-80 10 p. (Lecture Notes in Networks and Systems; vol. 1448 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review