The classification of EMG signals using machine learning for the construction of a silent speech interface.
With 7.5 million people unable to speak due to various physical and mental conditions, patients are forced to use cumbersome/inefficient devices such as eye/cheek trackers. In this study, a speech aid known as a Silent-Speech-Interface (SSI) was created. This device could be used by patients with sp...
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| Format: | Article |
| Language: | English |
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Royal St. George's College
2021-08-01
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| Series: | The Young Researcher |
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| Online Access: | http://www.theyoungresearcher.com/papers/chandrashekhar.pdf |