Voice Screening Model
Non-invasive voice analysis demo (research use)

Kishan Pal

Predicted: Benign Actual: Not set

Patient info

Age
60
Gender
male
Recorded
2026-03-12 04:48:55.371642 (UTC)
Duration
9.30 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.689
  • Malignant0.293
  • Normal0.019

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean329.777793
f0_median332.201859
f0_min316.584321
f0_max343.891711
f0_range27.307391
f0_sd9.692083
jitter_local0.032836
jitter_rap0.016699
jitter_ppq50.020031
shimmer_local0.168118
shimmer_apq30.077711
shimmer_apq50.100034
shimmer_apq110.129205
hnr_mean5.700714
cpp_mean6.304550
spectral_centroid2876.219745
spectral_flatness0.015944
zcr0.179650
spectral_rolloff_855562.109187
ltas_0_1k0.754382
ltas_1_2k0.087703
ltas_2_4k0.042348
ltas_4_8k0.113621

Key markers include F0 Max, Shimmer APQ3/APQ5, CPP, and LTAS 0–1k.

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.815 Malignant: 0.159 Normal: 0.026
2 1.5s – 4.5s Benign Benign: 0.826 Malignant: 0.154 Normal: 0.019
3 3.0s – 6.0s Benign Benign: 0.835 Malignant: 0.145 Normal: 0.020
4 4.5s – 7.5s Benign Benign: 0.806 Malignant: 0.170 Normal: 0.024
5 6.0s – 9.0s Malignant Benign: 0.161 Malignant: 0.836 Normal: 0.004
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.