Speech-Based Vehicle Movement Control Solution, Journal of Telecommunications and Information Technology, 2021, nr 3
In: Journal of Telecommunications and Information Technology, 2021
academicJournal
Zugriff:
The article describes a speech-based robotic prototype designed to aid the movement of elderly or handicapped individuals. Mel frequency cepstral coefficients (MFCC) are used for the extraction of speech features and a deep belief network (DBN) is trained for the recognition of commands. The prototype was tested in a real-world environment and achieved an accuracy rate of 87.4%
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Speech-Based Vehicle Movement Control Solution, Journal of Telecommunications and Information Technology, 2021, nr 3
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Autor/in / Beteiligte Person: | Kaur, Gurpreet ; Kumar, Amod ; Srivastava, Mohit |
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Zeitschrift: | Journal of Telecommunications and Information Technology, 2021 |
Veröffentlichung: | Instytut Łączności - Państwowy Instytut Badawczy, 2021 |
Medientyp: | academicJournal |
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