Medical Audio Annotation
Curate and calibrate audio data through annotation for enhanced disease diagnosis
Utilize our extensive experience in medical audio annotation to train predictive algorithms for developing speech-enabled AI health applications and diagnostics tools
We use audio annotation capabilities to calibrate range selection, integrate spectrograms, and inspect acoustics, speech, voice, and pitch for disease diagnosis. Among the audio/sounds we analyze are coughs, wheezing, abnormal breathing sounds, and verbal & nonverbal vocalizations. Our Medical Audio Annotation Capabilities
Audio/Vocal Biomarkers
Using audio/vocal biomarkers for remotely monitoring clinical outcomes of diseases affecting the heart, lungs, brain, and muscles.
Voice Characteristics & Phonatory Behavior
Assess voice characteristics and phonatory behavior to determine the symptoms of depression & multiple sclerosis disorder.
Various Vocal Diagnosis
Develop vocal diagnostic tools capable of detecting coughs, sneezes, snores, and screams to improve diagnostic outcomes.
Respiratory Sounds
Data annotation to train AI algorithms for diagnosing respiratory disorders based on distinctive breathing patterns and excessive breathlessness.
Medical Audio Annotation You Can Trust
Cogito’s healthcare and NLP experts collaborate closely to accurately perform medical audio annotation through understanding recognizable voice signatures, verbal & nonverbal vocalizations, and fluency for precise disease diagnostic outcomes.
Domain Expertise
Subject matter experts with years of experience in medical data annotation ensure accurately labelled datasets
End-to-end Data Security
Ensure compliance with HIPAA by maintaining strict data security and confidentiality policies
Quick Turn Around Time
we provide fast and accurate annotations through manual and AI-based methods with 1500+ data and industry experts on board
Quality & Accuracy
Data is audited and reviewed multiple times to ensure it is of the highest quality and accuracy possible