Voice-Controlled Avionics Automation for Pilot Workload Reduction
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Solution Overview
Problem
Pilots and co-pilots face increasing difficulties in monitoring and controlling aircraft systems due to rising complexity, requiring more time and attention away from other critical tasks.
Innovation Solution
Integration of automatic speech recognition (ASR) and text-to-speech (TTS) programs into avionics systems, allowing voice commands to control aircraft functions, reduce pilot workload by automating tasks such as frequency changes, navigation, and checklist management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pilots and co-pilots manually monitor and operate aircraft systems, then they can maintain direct control and awareness, but the time and attention required increases significantly
Solution Approach 1:
The system enables self-service by allowing the aircraft systems to automatically respond to pilot commands without requiring manual operation. The speech recognition system interprets pilot commands and automatically executes corresponding aircraft functions, such as adjusting navigation settings or communicating with air traffic control, thereby reducing the time pilots spend on routine monitoring and control tasks while maintaining system reliability
Solution Approach 2:
The patent replaces manual mechanical operations with an automated speech recognition and command interpretation system. Instead of pilots manually manipulating controls and monitoring instruments, the system uses acoustic signal processing to capture, recognize, and execute voice commands, substituting the mechanical interaction between pilot and aircraft systems with an automated information processing mechanism
2Extent of automation
If the avionics system becomes more complex to handle increased aircraft systems, then more functions can be automated, but the difficulty of operation increases
Solution Approach 1:
The system replaces complex manual avionics operations with speech-based control. The speech recognition system processes natural language commands and translates them into automated aircraft control actions, eliminating the need for pilots to manually navigate complex avionics interfaces while maintaining high levels of automation
Solution Approach 2:
The speech recognition system serves multiple functions within a single unified interface. It can interpret various types of commands (navigation, communication, system control), process different acoustic inputs (voice commands, radio communications), and execute diverse aircraft functions, thereby simplifying operation across multiple avionics subsystems through a single versatile control mechanism
3Ease of operation
If voice commands are used to control aircraft functions, then pilot workload is reduced, but the system must accurately recognize and interpret speech in various conditions
Solution Approach 1:
The system incorporates feedback mechanisms to verify and correct speech recognition accuracy. The command interpretation process includes validation steps that cross-check recognized commands against expected formats and aircraft system states, providing feedback loops that enhance recognition precision while maintaining ease of voice-based operation
Solution Approach 2:
The patent introduces an intermediary command interpretation layer between speech recognition and aircraft control execution. This intermediary system processes and validates recognized commands, filtering and translating acoustic signals into reliable control actions, thereby bridging the gap between variable speech input and precise aircraft control requirements
Data Source
AI summary
A system and method which implement automatic speech recognition (ASR) and text-to-speech (TTS) programs to permit pilots, co-pilots, and other persons to more quickly and easily perform control and monitoring tasks on aircraft. The system may be used to automatically change the frequency of an aircraft radio when a pilot or co-pilot is instructed to do so by ATC.