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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格式: | Online |
语言: | spa |
出版: |
Universidad Pedagógica y Tecnológica de Colombia - UPTC
2017
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主题: | |
在线阅读: | https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/5121 |
总结: | 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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