Aecho

Voice-First Mental Health Diagnosis

Current State

Our Voice-based depression detection is already reaching accuracy levels close to PHQ-9.

Next Steps

Expanding to anxiety & PTSD detection using voice-only biomarkers — early, unbiased, and non-invasive.

Get your results while contributing valuable data to enhance the lives of others through groundbreaking validation studies

Validation studies in progress • Not for clinical diagnosis

Available Mental Health Screening Surveys

Complete assessment with voice analysis and instant results

Depression Assessment (PHQ-9)
Screen for depression symptoms
Questions:9
SurveyVoiceInventoryVoice Results
Anxiety Assessment (GAD-7)
Screen for anxiety symptoms over the past two weeks
Questions:7
SurveyVoiceResults
PTSD Screening (PC-PTSD-5)
Screen for post-traumatic stress disorder symptoms
Questions:5
SurveyVoiceResults
Severity Measure for Panic Disorder—Adult
Assessment for panic disorder symptoms in individuals age 18 and older
Questions:10
SurveyVoiceResults
Perceived Stress Scale (PSS-10)
Measure the perception of stress
Questions:10
SurveyVoiceResults
Adult ADHD Self-Report Scale (ASRS-v1.1)
Screen for ADHD symptoms in adults
Questions:18
SurveyVoiceResults
Maslach Burnout Inventory - Human Services Survey (MBI-HSS)
Assess burnout symptoms in human service professionals
Questions:22
SurveyVoiceResults
Insomnia Severity Index (ISI)
Assess the nature, severity, and impact of insomnia symptoms
Questions:7
SurveyVoiceResults

All assessments are conducted securely and results are available instantly

Where We're At

We're running a independent validation studies with our binary voice-based depression prediction model to validate results and improve our multiclass model for PHQ9 parity

Next Milestones

Our roadmap for achieving parity with traditional assessments

85%+
Multiclass PHQ9 Parity
Achieve same or better performance than PHQ9 assessments with multiclass voice-based depression prediction for reliable clinical integration
Planned
Independent Validation
Independent trials by recognized authorities to validate our voice models en masse across diverse populations
1,000+
1,000+ Participants
Comprehensive dataset spanning multiple demographics for robust model training and validation

Our Advantages

Voice-first mental health detection offers unique benefits supported by extensive clinical research and validation studies.

Early Detection
Voice changes often precede mood symptoms, enabling earlier intervention when treatment is most effective.
Objective Biomarkers
Measurable voice features like pitch, pauses, and speech rate provide quantifiable data less prone to self-report bias.
Real-Time Monitoring
Continuous assessment through natural speech enables tracking of mental health changes over time.
Cost-Effective Screening
Automated processing reduces clinical hours needed, making mental health screening more accessible and affordable.
Universal Accessibility
Works remotely with any device, reaching underserved populations where mental health specialists are scarce.
Independent Validation
Our approach aligns with clinical standards and we're committed to ongoing validation and transparency.
Try Our Voice And Inventory Depression Predictor
Experience our binary depression prediction model that achieves results approaching PHQ9 accuracy. Quick, objective, and accessible from anywhere.
Depression Assessment Interface Preview
2-3 minutes
Clinical accuracy
Voice analysis
Inventory data
Try Voice Depression Test

Validation studies in progress • Not for clinical diagnosis