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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Universidad Pedagógica y Tecnológica de Colombia
2016-01-01
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| Series: | Ingeniería Investigación y Desarrollo |
| Subjects: | |
| Online Access: | http://revistas.uptc.edu.co/revistas/index.php/ingenieria_sogamoso/article/view/5121 |
| Summary: | 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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| ISSN: | 1900-771X 2422-4324 |