Prototype of wheelchair commanded by voice using HMM in a controlled environment

This article presents the development of a recognition system of speaker independent isolated words to command a wheelchair. Each word is encoded using techniques of Linear Prediction and Real Cepstrum, while the classification step is performed using Hidden Markov Models (HMM). From the results, co...

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Détails bibliographiques
Auteurs principaux: Higuera-Martínez, Óscar Iván, Espitia-Flórez, Helberth Yesid, Méndez-Medina, Diego
Format: Online
Langue:spa
Publié: Universidad Pedagógica y Tecnológica de Colombia - UPTC 2017
Sujets:
Accès en ligne:https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/5121
Description
Résumé:This article presents the development of a recognition system of speaker independent isolated words to command a wheelchair. Each word is encoded using techniques of Linear Prediction and Real Cepstrum, while the classification step is performed using Hidden Markov Models (HMM). From the results, commands are generated to a mobile system (wheelchair), which is led in a controlled environment.