Clinical voice intelligence

The voice says more than the words.

Emotn AI listens to the human voice and surfaces the emotional and cognitive signals it carries — in real time. An objective, additional input that helps clinicians see the whole patient, not just the transcript.

Idle · ambient signal
EMOTN · SCOPE v0.4 · 48kHz
Live vocal waveform. Illustrative demo of the interface — not a clinical measurement.

Emotional & cognitive readout

Valence
Arousal
Vocal stress
Expressivity
Engagement
Audio is processed in your browser and never leaves this page.
In active pilots with behavioral-health practices
Northgate HealthMeridian ClinicCalder InstituteBayline Therapy
The gap

Half the message is in how it's said.

Clinicians are trained to read tone, hesitation, and affect — but they're doing it from memory, mid-conversation, while taking notes. The signal that matters most often leaves no record at all.

01

It's subjective

Two clinicians can hear the same session and read the affect two different ways.

02

It's fleeting

The moment passes. The note captures the words — rarely the tremor behind them.

03

It's invisible over time

Slow shifts between visits — the ones that matter most — are the hardest to see.

How it works

From voice to insight, live.

STEP 01

Capture

In session or via upload, Emotn AI processes the voice signal — not the words alone.

STEP 02

Analyze

Vocal biomarkers are mapped to emotional and cognitive dimensions, each with a confidence indicator.

STEP 03

Support

You get a clear, timestamped view to weigh alongside your own clinical observation.

Emotn AI surfaces signals. You make the call. Always.

The architecture

Three models. One read.

Emotn AI never leans on a single signal. Three independent machine-learning models analyze the same voice in parallel — then fan in to one confidence-weighted set of findings and a clinician-ready report.

Model 01 · Acoustic

Voice intelligence

Reads the acoustics — prosody, rhythm, pitch, energy, and micro-tremor. The vocal biomarkers beneath the words.

Model 02 · Affect

Sentiment analysis

Reads the emotional charge — the valence and affect carried in how something is said, moment to moment.

Model 03 · Meaning

Semantic analysis

Reads the meaning — what is actually being said, in context, and how content shifts across a session.

Fan-in fusion — three reads reconciled, weighted by agreement & confidence
Output

Unified findings & clinician report

One timestamped view — showing where the models agree, how confident each is, and the moments that drove every result. Built to sit alongside your clinical judgement, never to replace it.

What it measures

A structured read of what the ear can only sense.

Emotional valence & arousaltracked over time
Affective flatness / expressivityrange
Vocal markers of stress & anxietyintensity
Cognitive load & engagementindex
Session-over-session trendΔ vs. baseline
Every measure ships with a confidence indicator. We show you how sure the model is — because uncertainty is clinical information too.

Session affect timeline · illustrative

ValenceArousalConfidence band
Who it's for

Built for the people patients trust.

Psychotherapists & counselors

Catch affective shifts you can revisit between sessions.

Psychiatrists

Add an objective signal to medication and treatment-response decisions.

Primary & behavioral health

Screen and monitor with a consistent, structured input.

Researchers & clinical teams

Quantify affect at scale, reliably and reproducibly.

The science

Validated where it counts.

Built on peer-reviewed research in vocal biomarkers and affective computing, and benchmarked against clinician-rated standards. We publish our methods, our limitations, and our confidence bounds.

  • Trained and validated on clinician-annotated speech datasets
  • Benchmarked against clinician-rated affect scales
  • Transparent model cards and known-limitations documentation
  • Read the validation whitepaper →
Security & privacy

Patient trust is the product.

We protect it accordingly — consent-first, encrypted, and configurable to your practice's retention policy.

  • Encryption in transit and at rest
  • Consent-first: patients know what's captured and why
  • Configurable retention — including process-and-discard
  • Compliance-aligned data handling [verify: HIPAA / GDPR / SOC 2]
“It flagged a flattening in affect I'd have caught a session later.”

[Dr. Name], [Credentials] — [Practice] · replace with a real, permissioned quote

Limited early-access cohort

Give your clinical judgment one more sense.

We work closely with each early practice to fit Emotn AI to real clinical settings. Tell us about your work and we'll be in touch about a pilot.

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