Recognition of Real-Time BISINDO Sign Language-to-Speech using Machine Learning Methods
Author:
Affiliation:
1. Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia
Funder
Lembaga Pengelola Dana Pendidikan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127649/10127667/10127743.pdf?arnumber=10127743
Reference18 articles.
1. Performance Comparison of Grid Search and Random Search Methods for Hyperparameter Tuning in Extreme Gradient Boosting Algorithm to Predict Chronic Kidney Failure;aryo;Intelligent Systems Engineering J,2021
2. A Signer Independent Sign Language Recognition with Co-articulation Elimination from Live Videos: An Indian Scenario;lijiya;Journal of King Saud University - Computer and Information Sciences,2022
3. User Identification Based on Hand Geometrical Biometrics Using Media-Pipe
4. An integrated mediapipe-optimized GRU model for Indian sign language recognition;subramanian;Scientific Reports,2020
5. Deep learning-based sign language recognition system for static signs
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2. An Investigational Analysis of Automatic Speech Recognition on Deep Neural Networks and Gated Recurrent Unit Model;Lecture Notes in Networks and Systems;2024
3. BISINDO Hand-Sign Detection Using Transfer Learning;2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2023-12-02
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