Advanced Tests
Understanding Your Voice Analysis Results
Learn about the acoustic metrics recorded from your voice test including frequency, stability, and timing measurements.
After the analysis is complete, you will see a detailed report with measurements of your voice's acoustic characteristics.
⚠️ Preview Feature — Coming Soon
Voice Analysis is in preview. Some fields and scores described below may not yet be populated. We're expanding the analysis engine in upcoming releases.
Detailed Metrics Tab
This tab provides measurements of various acoustic properties of your voice sample.
Voice Stability Measurements
What it measures: The consistency of vocal characteristics using frequency and amplitude metrics.
Jitter (Frequency Variation)
Definition: Measures cycle-to-cycle variations in vocal frequency.
Measurement unit: Percentage (%)
What affects it:
- Vocal usage patterns
- Hydration levels
- Speaking effort
- Environmental factors
Shimmer (Amplitude Variation)
Definition: Measures cycle-to-cycle variations in vocal amplitude.
Measurement unit: Percentage (%)
What affects it:
- Speaking volume
- Breath control
- Environmental acoustics
- Recording conditions
Voice Quality Measurements
Acoustic characteristics of voice clarity and production.
Clarity (HNR - Harmonics-to-Noise Ratio)
Definition: The ratio of harmonic sound to noise in the voice recording.
Measurement unit: Decibels (dB)
What it represents:
- Overall recording quality
- Harmonic content of voice
- Signal clarity
Speech Rate
Definition: The number of syllables or words spoken per second.
Measurement unit: Syllables per second (sps) or words per minute (wpm)
Factors that affect it:
- Speaking habits
- Emotional state
- Situational context
- Cultural patterns
Raw Acoustic Data
The Details tab provides comprehensive acoustic measurements:
Fundamental Frequency (F0)
Definition: The average pitch of your voice, measured in Hertz.
Typical ranges:
- Adult males: 85-180 Hz
- Adult females: 165-255 Hz
- Children: 250-300 Hz
Harmonicity Metrics
Definition: Measurements of signal quality in the voice recording.
Key metrics:
- HNR (Harmonics-to-Noise Ratio): Signal clarity measurement
- Autocorrelation: Periodicity of voice signal
Spectral Metrics
Definition: Characteristics of the frequency spectrum.
Key measurements:
- Spectral Centroid: Center of mass of the spectrum
- Spectral Rolloff: Frequency distribution
- Spectral Flux: Changes in spectrum over time
- MFCCs: Mel-Frequency Cepstral Coefficients
Tracking Over Time
Pattern Observation
Track your results over multiple tests to observe:
Consistency patterns:
- Stable measurements over time
- Variations between recordings
- Daily or weekly patterns
Temporal patterns:
- Morning vs. evening differences
- Weekday vs. weekend variations
- Seasonal changes
What to Track
Short-term (days to weeks):
- Day-to-day variations
- Effects of different conditions
- Time-of-day patterns
Long-term (months to years):
- Baseline patterns
- Gradual changes
- Long-term trends
Sharing Your Results
Export Options
Share with Healthcare Provider:
- Tap the share button to export results
- Include multiple test results for comparison
- Provide context about when tests were taken
What to include:
- Test date and time
- Recording conditions
- Any relevant context
Recording Quality
For Best Results
Environment:
- Quiet location
- Consistent microphone distance
- Minimal background noise
- Stable positioning
Technical:
- Clear microphone
- Adequate volume
- Complete recording
- Proper duration (10+ seconds)
📈 Tracking Tip
Record tests at the same time of day and in similar conditions for more consistent measurements. Voice characteristics naturally change throughout the day.
⚠️ Important Reminder
Voice analysis provides acoustic measurements for informational purposes only. These results are not medical assessments and should not be used for health decisions. Consult healthcare professionals for any health-related concerns.