COMPUTERIZED DISTRESS CALL DETECTION AND AUTHENTICATION
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United States of America Patent
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Issued Date -
Jul 20, 2023
app pub date -
Nov 18, 2022
filing date -
Jan 18, 2022
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Abstract
Systems, methods, and other embodiments associated with computer distress-call detection and authentication are described. In one embodiment, a method includes detecting a human voice in audio content of a radio signal. Speech is recognized in the human voice to transform the human voice into text and vocal metrics. Feature scores are generated that represent features of the recognized speech based at least in part on the vocal metrics. The human voice is then classified as either a hoax distress call or an authentic distress call based on the feature scores. An alert is then presented indicating that the human voice is one of the hoax distress call or the authentic distress call.
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