VOICE BIOMARKERS
Translating what we say, and how we say it, into actionable care solutions.
Voice as a vital sign
Canary Speech's patented speech analysis technology provides clinical-grade screening for mood states and disease using proprietary machine learning modeling.
Voice inherently reveals both emotional and physiological states. Canary’s technology unlocks voice as a vital sign, modeling both acoustic and linguistic features to measure stress, mood, and energy.
Developed by the neurology and speech AI team behind Amazon Alexa, Canary Speech powers first-of-its-kind insight into the full applications of vocal biomarkers in healthcare.
Canary in Action
- 1
DETECT
Canary accurately and objectively screens for wellness using thousands of untapped data points collected from vocal biomarkers.
- 2
SCORE
We return analysis with a quantifiable Voice Score assessing the state and severity of stress, mood, and energy levels.
- 3
Track
Our voice modeling monitors symptom and wellness progression over time, allowing seamless mood tracking and clinical-grade health monitoring.
- 4
predict
We've developed an industry-first predictive health model. Mood and disease states present in our vocal biomarker data early enough for preventive care.
Canary in Action
- 1
DETECT
Canary accurately and objectively screens for wellness using thousands of untapped data points collected from vocal biomarkers.
- 2
SCORE
We return analysis with a quantifiable Voice Score assessing the state and severity of stress, mood, and energy levels.
- 3
Track
Our voice modeling monitors symptom and wellness progression over time, allowing seamless mood tracking and clinical-grade health monitoring.
- 4
predict
We've developed an industry-first predictive health model. Mood and disease states present in our vocal biomarker data early enough for preventive care.
Our Models
Canary has fully modeled the following conditions for proactive screening. We’re researching new applications for our technology every day.
RESEARCH PAPERS
Stay up to date with our team’s groundbreaking research on vocal biomarkers.
