Title:

Speech-Based Vehicle Movement Control Solution, Journal of Telecommunications and Information Technology, 2021, nr 3

Creator:

Srivastava, Mohit ; Kaur, Gurpreet ; Kumar, Amod

Subject and Keywords:

speech recognition ; mel frequency cepstral coeficients ; deep belief networks

Description:

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%

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Date:

2021, nr 3

Resource Type:

artykuł

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności