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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Main Authors: Óscar Iván Higuera-Martínez, Helberth Yesid Espitia-Flórez, Diego F. Méndez-Medina
Format: Article
Language:Spanish
Published: Universidad Pedagógica y Tecnológica de Colombia 2016-01-01
Series:Ingeniería Investigación y Desarrollo
Subjects:
Online Access:http://revistas.uptc.edu.co/revistas/index.php/ingenieria_sogamoso/article/view/5121
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author Óscar Iván Higuera-Martínez
Helberth Yesid Espitia-Flórez
Diego F. Méndez-Medina
author_facet Óscar Iván Higuera-Martínez
Helberth Yesid Espitia-Flórez
Diego F. Méndez-Medina
author_sort Óscar Iván Higuera-Martínez
collection DOAJ
description 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.
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spelling doaj.art-98e93b397f654ae39630fd44b459a3122022-12-22T01:54:58ZspaUniversidad Pedagógica y Tecnológica de ColombiaIngeniería Investigación y Desarrollo1900-771X2422-43242016-01-01161263810.19053/1900771X.51214057Prototype of wheelchair commanded by voice using HMM in a controlled environmentÓscar Iván Higuera-Martínez0Helberth Yesid Espitia-Flórez1Diego F. Méndez-Medina2Universidad Pedagogica y Tecnologica de Colombia, SogamosoUniversidad Pedagogica y Tecnologica de Colombia, SogamosoUniversidad Pedagogica y Tecnologica de Colombia, SogamosoThis 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.http://revistas.uptc.edu.co/revistas/index.php/ingenieria_sogamoso/article/view/5121modelos Ocultos de markovprocesamiento de vozpredicción linealCepstrum
spellingShingle Óscar Iván Higuera-Martínez
Helberth Yesid Espitia-Flórez
Diego F. Méndez-Medina
Prototype of wheelchair commanded by voice using HMM in a controlled environment
Ingeniería Investigación y Desarrollo
modelos Ocultos de markov
procesamiento de voz
predicción lineal
Cepstrum
title Prototype of wheelchair commanded by voice using HMM in a controlled environment
title_full Prototype of wheelchair commanded by voice using HMM in a controlled environment
title_fullStr Prototype of wheelchair commanded by voice using HMM in a controlled environment
title_full_unstemmed Prototype of wheelchair commanded by voice using HMM in a controlled environment
title_short Prototype of wheelchair commanded by voice using HMM in a controlled environment
title_sort prototype of wheelchair commanded by voice using hmm in a controlled environment
topic modelos Ocultos de markov
procesamiento de voz
predicción lineal
Cepstrum
url http://revistas.uptc.edu.co/revistas/index.php/ingenieria_sogamoso/article/view/5121
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AT helberthyesidespitiaflorez prototypeofwheelchaircommandedbyvoiceusinghmminacontrolledenvironment
AT diegofmendezmedina prototypeofwheelchaircommandedbyvoiceusinghmminacontrolledenvironment