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Canary Speech

Voice AI for objective health screening using vocal biomarkers

A clinical-grade voice AI platform that uses vocal biomarkers to screen for mood and cognitive conditions in 20 seconds of speech, enabling objective health

About

Screenshot of the Canary Speech homepage
Homepage of Canary Speech

Canary Speech uses patented voice biomarker technology powered by machine learning to assess wellness and detect mood and cognitive conditions from speech analysis. The platform processes vocal samples of 20-40 seconds to extract acoustic, prosodic, and linguistic features that reveal emotional, physiological, and cognitive states, creating objective, actionable data for clinical decision support.

The company offers an API-first, cloud-based platform designed for healthcare providers, clinical call centers, payers, and clinical trials. Products include Canary Ambient™, described as the industry's first ambient listening voice biomarker tool that proactively detects cognitive and behavioral conditions before traditional clinical screening. The technology is fully HIPAA-compliant, HITRUST e1 certified, and ISO/IEC 27001:2022 and ISO/IEC 42001:2023 certified.

Canary Speech's mission is to replace subjective measurements of wellbeing with objective, data-driven insights to improve patient outcomes and quality of life. The platform provides decision-support signals related to mood and cognitive status to support proactive care planning across healthcare settings, from hospitals to individual patients' phones.

Features at a glance

  • Voice biomarker analysis extracting acoustic, prosodic, and linguistic features
  • Mood score assessment based on intonation, pitch variability, and speech rhythm
  • Vocal stress score measuring physiological stress markers in voice
  • Ambient listening for passive, non-intrusive voice monitoring
  • 20-40 second audio analysis for rapid assessment
  • HIPAA-compliant and HITRUST e1 certified platform
  • API-first architecture for integration with healthcare systems
  • Deep learning models trained on diverse demographic datasets

Pricing

Pricing model: Contact for pricing

Quick answers

How does Canary technology work?
Canary Speech uses vocal biomarkers extracted from voice to reveal emotional, physiological, and cognitive states. The technology creates machine learning models that evaluate disease from conversational speech in seconds using analysis of acoustic, prosodic, and linguistic elements of speech.
What do the mood and stress scores indicate?
The Mood Score is based on acoustic features like intonation, pitch variability, and speech rhythm that correlate with emotional state and clinical mood assessments, with results categorized as Excellent, Good, or Low. The Vocal Stress Score detects acoustic markers like elevated pitch, irregular speech cadence, and vocal tension to assess autonomic arousal, categorized as Low, Medium, or High.
What is ideal audio length for analysis?
An audio length between 20-40 seconds is ideal for analysis by Canary's technology.
How is my data secured?
Canary's technology is HIPAA-compliant, HITRUST e1 certified, and ISO/IEC 27001:2022 and ISO/IEC 42001:2023 certified. The platform is backed by data security experts, continuously monitored, CIS Control Audited, vulnerability scanned, and has cleared all API penetration testing with fully anonymous solutions available.

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