Speech-Based Vehicle Movement Control Solution

• Autorzy: Kaur Gurpreet , Srivastava Mohit , Kumar Amod

Identyfikatory

DOI

10.26636/jtit.2021.149820

• Języki publikacji: EN

Abstrakty

EN

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%.

Słowa kluczowe

EN

deep belief networks; mel frequency cepstral coeficients; speech recognition

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2021
• Tom: nr 3
• Strony: 72--77
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Kaur Gurpreet

• UIET, Panjab University, Chandigarh, India

• https://orcid.org/0000-0003-3735-0568

autor

Srivastava Mohit

• CEC Landran, India

• https://orcid.org/0000-0002-4566-4279

autor

Kumar Amod

• NITTTR, Chandigarh, India

• https://orcid.org/0000-0003-1177-3191

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).