AI Article Synopsis

  • Emergency doctors need a better way to understand speech, especially when it’s noisy around them.
  • There are challenges like loud background noise and people talking at the same time during emergencies.
  • A new system is being developed that uses a special method to focus on a specific doctor’s voice, which could make communication during emergencies clearer and safer.

Article Abstract

Automated speech recognition technology with robust performance in various environments is highly needed by emergency clinicians, but there are few successful cases. One main challenge is the wide variety of environmental interference involved during a typical prehospital care emergency service such as background noises and overlapping speech. To solve this problem, we try to establish an environmentally robust speech assistant system with the help of the proposed personalized speech enhancement (PSE) method, which utilizes the target physician's voiceprint feature to suppress non-target signal components. We demonstrate its potential value using both general public test set and our real EMS test set by evaluating the objective speech quality metrics, DNSMOS, and the recognition accuracy. Hopefully, the proposed method will raise EMS efficiency and security against non-target speech.

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Source
http://dx.doi.org/10.3233/SHTI231129DOI Listing

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