Voice biomarker guide

Voice Biomarker API

Voice biomarkers are measurable characteristics of speech that may reflect aspects of a person’s physical, neurological, cognitive or psychological state.

Integrate voice biomarkers into your application

Virtuosis AI provides a voice biomarker API that lets product and research teams submit speech recordings and receive structured acoustic insights for supported health, wellbeing and communication applications.

How the integration works

Integrate the API in four clear steps. Exact audio formats, authentication requirements and response fields are maintained in the developer documentation.

1

Submit a recording

Send a supported speech recording through the API.

2

Analyze acoustic characteristics

Virtuosis measures patterns such as pitch, pace, rhythm and voice quality.

3

Receive structured results

Your application receives model outputs for the selected supported use case.

4

Integrate into your workflow

Use the results within your research, screening, monitoring or communication workflow.

What the API analyzes

Feature family

Examples

What it describes

Prosody

Pitch, intonation, rhythm

How speech rises, falls and varies over time.

Timing

Speaking rate, pauses, response latency

The pace and temporal organization of speech.

Voice quality

Stability, breathiness, perturbation

Characteristics of vocal-fold vibration and airflow.

Spectral characteristics

Energy distribution and frequency-domain measures

The acoustic composition of the recorded signal.

Semantic content

Words, vocabulary and meaning

Not the primary focus of Virtuosis acoustic analysis.

Virtuosis primarily analyzes acoustic characteristics rather than the meaning of the words. Recording context, language, device quality and speech fluency can still influence performance and are considered during validation.

Built for different workflows

Health and clinical research

Use voice-derived acoustic measurements within approved studies and validation programmes for defined populations and intended uses.

Screening and monitoring

Integrate supported voice biomarkers into workflows that help professionals identify changes and prioritize follow-up.

Digital health products

Add voice analysis to telehealth, remote monitoring and digital-health services through a documented API.

Wellbeing and communication

Support applications that analyze fatigue, stress and communication patterns while keeping intended-use boundaries clear.

Validation and responsible interpretation

API availability does not make every output clinically valid for every context. Performance depends on the intended use, population, recording conditions, reference standard and deployment environment.

Intended use

Each model should be used only for the purpose, population and workflow for which it has been developed and evaluated.

Population and language

Performance should be assessed across relevant populations, languages and recording conditions before deployment.

Reference standard

Validation compares model outputs with appropriate clinical, behavioral or operational reference measures.

Limitations and uncertainty

Results complement professional judgment and should not be treated as a standalone medical diagnosis.

Deployment, privacy and data handling

Deployment requirements depend on the selected use case and integration. Virtuosis documents authentication, supported inputs and response fields in the API reference, while project-specific validation and hosting requirements are confirmed during implementation.

Voice recordings can be sensitive personal data. Collection, access, retention and deletion should follow the agreed legal basis, consent process and deployment configuration.

API integration in practice

1

Review the documentation

Confirm authentication, supported audio inputs and the response fields required by your workflow.

2

Connect your application

Submit recordings through the documented API endpoints.

3

Validate the workflow

Test the integration with representative recordings and evaluate performance for the intended use.

4

Deploy responsibly

Monitor data quality, model scope and user communication after launch.

Virtuosis is designed to complement, not replace, professional judgment or established clinical assessment. Product capabilities and regulatory status depend on the specific deployment and intended use.

Security and responsible use

Data handling depends on the agreed deployment. Voice recordings should be collected transparently, protected appropriately and retained only for the documented purpose and duration.

Read more about our Ethics & Privacy commitments and our Privacy Policy.

Explore what voice biomarkers could add to your product or research.

View API docs
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