Canary Speech launches Canary Ambient real-voice analysis for clinical conversations


Canary Speech, a leader in vocal biomarker technology, has announced the launch of Canary Ambient, an API-first solution designed for healthcare and contact centres, which offers a real-time voice analysis during clinical conversations, which the company claims is the ‘first of its kind’.

Canary Ambient is a clinical decision support software that enables actionable insights into patient-clinician dialogues, tracking speech patterns, and delivering real-time assessments of cognitive and behavioural health conditions.

With its advanced voice processing capabilities, Canary Ambient brings unobtrusive and impactful insights, helping organisations identify potential at-risk individuals who would benefit from further evaluation, improving overall communication and efficiency of patient care – all done while listening in the background.

“Canary Speech’s clinical ambient listening allows for seamless vocal biomarker analysis that captures the natural interaction between a clinician and their patient with no additional prompting required,” said Nate Blaylock, CTO of Canary Speech. “This technology supports the clinician in identifying patients who may benefit from additional screening.”

“We are thrilled to offer Canary Ambient, which will allow many more organisations to frictionlessly integrate vocal biomarker analysis into existing workflows, improving patient care and customer service,” said Henry O’Connell, CEO of Canary Speech.

Key Features of Canary Ambient include:

  • Real-Time Streaming Audio Processing: Captures live audio from clinical environments and contact centres, allowing for vocal biomarker results to be calculated and made available in real time, during the conversation. 
  • Advanced Diarisation: Uses ‘state-of-the-art’ diarisation technology to separate voices into distinct channels, offering clear and accurate recommendations for both parties involved.
  • Role Identification: Automatically identifies and differentiates between participants, whether a clinician and patient or an agent and customer, resulting in accurate tracking throughout the conversation.
  • Vocal Biomarker Analysis: Powered by Canary Speech’s proprietary algorithms, Canary Ambient analyses speech for signs of health conditions such as Anxiety, Depression, MCI, and Alzheimer’s.
  • Customisable Analysis: Provides flexibility to focus biomarker and vulnerability analysis on one or both participants, enabling targeted insights for different use cases. 
  • Seamless Integration with Existing Systems: Easily integrates with healthcare systems, AI-powered tools, and contact center platforms, enabling continuous data flow and real-time feedback.
  • Immediate Feedback and Insights: Delivers real-time analysis to clinicians and customer service agents, empowering informed decision-making with instant vocal data insights.
  • Secure and Compliant Data Handling: Ensures all audio data complies with privacy and security standards like HIPAA, HITRUST, and relevant regulations for call centres, safeguarding sensitive information.

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Source url www.med-technews.com
Canary Speech,Digital Health,speech analysis,artificial intelligence (AI),Oliver Johnson

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