A Context-Aware Language Model to Improve the Speech Recognition in Air Traffic Control
Recognizing isolated digits of the flight callsign is an important and challenging task for automatic speech recognition (ASR) in air traffic control (ATC). Fortunately, the flight callsign is a kind of prior ATC knowledge and is available from dynamic contextual information. In this work, we attemp...
Saved in:
Main Authors: | Dongyue Guo, Zichen Zhang, Peng Fan, Jianwei Zhang, Bo Yang |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/d5c3f6acd8874e9bb51a0fe02f3ccc33 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Target Tactical Intention Recognition in Multiaircraft Cooperative Air Combat
by: Meng Guanglei, et al.
Published: (2021) -
Experimental and Numerical Investigations on the Ignition of RBCC Gas-Oxygen/Kerosene Rocket Ejector
by: Bingyang Liu, et al.
Published: (2021) -
Research on Aluminum Honeycomb Buffer Device for Soft Landing on the Lunar Surface
by: Wei Wei, et al.
Published: (2021) -
A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace
by: ChaoYu Xia, et al.
Published: (2021) -
Research on the Fatigue of Small Impulse Turbine Blade Based on the Numerical Simulation and Experimental Tests
by: Shijie Liu, et al.
Published: (2021)