Sistema de reconhecimento de voz para automatização de uma plataforma elevatória
The aim of this work is to present the implementation of a system for speech recognition to automate a platform lift, important product in the area of Assistive Technology. The market in this area lacks equipment at affordable prices that are appropriated to the needs of the users, particularly in m...
| Principais autores: | Perico, Alisson, Shinohara, Cindi Sayumi, Sarmento, Cristiano Dellani |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/9879 |
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| Resumo: |
The aim of this work is to present the implementation of a system for speech recognition to automate a platform lift, important product in the area of Assistive Technology. The market in this area lacks equipment at affordable prices that are appropriated to the needs of the users, particularly in mobility aids. Speech recognition fits into this context and its application in Assistive Technology is continually growing. However, in most cases, the current available systems are expensive, dependent on external sources of data and do not allow their adaptation to specific applications. Therefore, it is necessary to develop a system that does not present these limitations. Using a lifting platform provided by PROTA (Assistive Technology Program), the Raspberry Pi minicomputer and existing speech decoders, this work will show that is possible to develop a low cost speech recognition system that is fully adapted to the desired application. In this text are described the development stages, the tests performed, the results and the final conclusions. |
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