All the emergency call operators have to face so many hoax calls. It’s hard to detect that in real-time manually and also causes service delay to the needy people. In this pandemic condition, such things can be hilarious. To prevent that, the University of Southern Queensland received $300,000. This amount will spend to develop a hoax emergency call detection technology that can respond in real-time.
The amount is approved by the State Government’s COVID-19 Industry Research Fellowship and received by Computer Scientist Dr. Rajib Rana who is leading the entire project.
The power of Artificial Intelligence algorithms will be used to determine the distress levels in the callers’ voice by monitoring physiological cues like high respiratory rate and dry mouth so that the emergency call operator can prioritize. The detection process will be fully automatic.
“When someone is in real distress there are physiological changes that happen, and that really alters their speech production,” Dr. Rana said. “Usually those changes are really hard to imitate. So using artificial intelligence techniques we are trying to determine those changes in real time. It’s not going to replace a human specialist, but … based on the objective level of distress they can rightly forward them to an expert who can talk through the situation.” he added.
The system will be trialed, for the first time, by the Metro North Hospital and Health Service through its 1300MH mental health support call. This technology will be helpful, no doubt, during any kind of national disaster, as the volume of emergency calls increased.
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