Paper Info
Title
Realization and design of a pilot assist decision-making system based on speech recognition.
Abstract
A system based on speech recognition is proposed for pilot assist decision-making. It is based on a HIL aircraft simulation platform and uses the microcontroller SPCE061A as the central processor to achieve better reliability and higher cost-effect performance. Technologies of LPCC (linear predictive cepstral coding) and DTW (Dynamic Time Warping) are applied for isolated-word speech recognition to gain a smaller amount of calculation and a better real-time performance. Besides, we adopt the PWM (Pulse Width Modulation) regulation technology to effectively regulate each control surface by speech, and thus to assist the pilot to make decisions. By trial and error, it is proved that we have a satisfactory accuracy rate of speech recognition and control effect. More importantly, our paper provides a creative idea for intelligent human-computer interaction and applications of speech recognition in the field of aviation control. Our system is also very easy to be extended and applied.
Year
DOI
Venue
2014
10.5121/csit.2014.4526
CoRR
Field
DocType
Volume
Trial and error,Dynamic time warping,Computer science,Voice activity detection,Cepstrum,Aviation,Pulse-width modulation,Speech recognition,Coding (social sciences),Microcontroller
Journal
abs/1406.2775
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Jian Zhao1687.63
Hengzhu Liu28623.28
Xucan Chen301.35
Zhengfa Liang4277.58