Acoustic Signals
Patterns in tone, rhythm, pause structure, and speech dynamics can contribute to behavioural and physiological interpretation.
LifeBack™ Voice
Voice analysis contributes acoustic, linguistic, behavioural, and longitudinal signal streams that can help surface clinically relevant patterns within a broader multimodal assessment.
Speech carries more than words. Acoustic patterns, linguistic structure, timing, affect, and longitudinal variation can all contribute to a richer understanding of mental and nervous system health.
Patterns in tone, rhythm, pause structure, and speech dynamics can contribute to behavioural and physiological interpretation.
Language structure, coherence, content patterns, and expressive variation can provide clinically meaningful context.
Repeated voice-based assessments can help surface changes over time that may not be visible in a single clinical encounter.
No single biomarker — genetic, acoustic, linguistic, or behavioural — is sufficient to characterise the complexity of serious mental illness or nervous system disorders. Voice becomes more powerful when interpreted alongside video, genomics, pharmacogenomics, and clinical data.