VOICE-BIOME™
Platform for Voice Biomarker Discovery
An end-to-end, disease-agnostic platform for transforming voice data into reproducible health insight.
What Is VOICE-BIOME™?
VOICE-BIOME™ is an automated platform to build, test, and validate voice biomarkers without building complex infrastructure.
- Voice data collection
- Audio preprocessing
- Rich voice features extraction
- Correlation with additional health data
- Machine learning training & validation
- Explainable analytics & visualization
From voice recording to actionable biomarker insight — fully integrated and scalable.
End-to-End Pipeline
No coding required. Fully reproducible workflows.
Profiling
Data Import
Preprocessing
Feature Extract
Feature Analysis
Training
ML Analysis
Profiling
Define study goals, cohorts, and voice capture plans to anchor downstream analysis.
Designed for Innovation and Discovery
Built for exploration and discovery, VOICE-BIOME™ supports teams across clinical and non-clinical domains.
Academic and clinical research groups
Digital health and life science companies
Innovation labs and technology developers
Institutions exploring voice as a novel biomarker modality
The platform allows teams to focus on scientific questions and validation, not on engineering pipelines or tooling.
Disease-Agnostic by Design
VOICE-BIOME™ is not limited to any specific disease or application. Its flexible architecture supports research across a wide range of domains, including:
Cardiovascular and respiratory health
Neurological and mental health research
Behavioral and wellness studies
Preventive and longitudinal monitoring
This makes VOICE-BIOME™ a foundational platform for discovering and validating new voice biomarkers.
BIOME Studio: Visual Workflow Orchestration
Empowers users to design and execute complex analytical workflows through intuitive templates.
- Modular workflow design
- Standardized pipelines
- Real-time process monitoring
- Downloadable models and artifacts
Integrated Analytics and Visualization
Upon completion of each analysis, VOICE-BIOME™ delivers a comprehensive analytics dashboard, enabling users to:
- Explore feature distributions and temporal changes
- Compare groups and experimental conditions
- Inspect statistical relationships and correlations
- Evaluate model performance and feature importance
Visual tools such as time-series plots, heatmaps, box plots, density curves, and importance analyses help translate complex voice data into interpretable insights.
Our goal is to democratize the digital biomarkers market
The Zana AI platform is designed to integrate biomarkers and speech analysis tools developed by other industry players - growing into a go-to place for digital biomarker services for various indications.