Speech interface for controlling micro air vehicle.

Lakshmi, P and Veena, S and Rahul, DK and Lokesha, H (2020) Speech interface for controlling micro air vehicle. Journal of Computational and Theoretical Nanoscience, 17 (1). pp. 488-491. ISSN 15461955

Full text not available from this repository.

Abstract

This paper focuses on the development of the speech interface for controlling a Micro Air Vehicle (MAV). A speech interface in such control applications will have two distinct modules. One is the Automatic Speech Recognition (ASR) module and the other is the Natural Language Processing (NLP) module. The ASR is developed using the models built using CMU Sphinx toolkit. The NLP scheme is proposed and developed using Natural Language Toolkit (NLTK). Understanding of the speech is very important in such kind of control applications. The NLP outcome is used to invoke the Ground Control Station (GCS) commands. The results are validated in a Flight Gear simulator using Mission Planner GCS configured for MAV.

Item Type: Article
Uncontrolled Keywords: ASR, CMU Sphinx, GCS, Hidden Markov Model(HMM), MAV, Mission Planner, NLP, NLTK
Subjects: AERONAUTICS > Aircraft Stability and Control
Depositing User: Mrs. Usha Kumari
Date Deposited: 09 Nov 2021 09:12
Last Modified: 09 Nov 2021 09:12
URI: http://nal-ir.nal.res.in/id/eprint/13489

Actions (login required)

View Item View Item