Simulated EAS Detection Using Tone Beep and Word Analysis
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Solution Overview
Problem
Current methods fail to effectively detect simulated Emergency Alert Signals (EAS) used in non-emergency contexts, leading to potential FCC fines for broadcasters who misuse these signals in entertainment programs, as conventional FSK demodulation techniques cannot identify simulated EAS messages lacking a modulated header.
Innovation Solution
A system comprising multiple detectors to identify tones, beeps, and emergency words in audio frames, utilizing tone and beep detection algorithms and Automatic Speech Recognition (ASR) technology to accurately detect simulated EAS messages, thereby preventing misuse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional FSK demodulation technique is used to detect EAS messages, then genuine EAS messages with FSK modulated header can be detected, but simulated EAS messages without FSK modulated header cannot be detected
Solution Approach 1:
The system employs multiple detectors with different detection capabilities: a first detector for tones, a second detector for beeps, and a third detector for emergency words. This multi-functional approach allows the system to detect both genuine EAS messages (with FSK modulated header) and simulated EAS messages (without FSK modulated header), thereby resolving the contradiction between detection precision for specific message types and versatility across different message types.
2Productivity
If simulated EAS messages are used in entertainment programs to enhance realism, then program attractiveness is improved, but broadcasters risk FCC fines for misuse of emergency signals
Solution Approach 1:
The system provides feedback by detecting the presence of simulated EAS messages in audio content. This feedback mechanism allows broadcasters to identify and remove or modify simulated EAS messages before transmission, thereby maintaining program quality while avoiding FCC fines for misuse of emergency alert signals.
Data Source
AI summary
A system and a method for detecting a simulated Emergency Alert Signal (EAS) are disclosed. The method includes detecting, by a first detector, one or more tones in a plurality of audio frames. Further, the method includes detecting, by a second detector, one or more beeps in the plurality of audio frames. Thereafter, the method includes detecting, by a third detector, at least one emergency word in the plurality of audio frames based at least on the detected one or more tones or the detected one or more beeps, and thereby detecting the simulated EAS.