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

sahu

Predicted: Benign Actual: Not set

Patient info

Age
45
Gender
male
Recorded
2026-02-18 16:40:59.475073 (UTC)
Duration
10.15 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.737
  • Malignant0.245
  • Normal0.018

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean194.708702
f0_median194.191169
f0_min171.908646
f0_max216.664892
f0_range44.756247
f0_sd15.695701
jitter_local0.029507
jitter_rap0.016630
jitter_ppq50.017034
shimmer_local0.179118
shimmer_apq30.098522
shimmer_apq50.173362
shimmer_apq110.123356
hnr_mean3.999282
cpp_mean8.649944
spectral_centroid2708.396884
spectral_flatness0.014794
zcr0.154530
spectral_rolloff_854718.504545
ltas_0_1k0.401555
ltas_1_2k0.267351
ltas_2_4k0.086886
ltas_4_8k0.223900

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.947 Malignant: 0.044 Normal: 0.010
2 1.5s – 4.5s Benign Benign: 0.940 Malignant: 0.048 Normal: 0.013
3 3.0s – 6.0s Malignant Benign: 0.110 Malignant: 0.885 Normal: 0.005
4 4.5s – 7.5s Benign Benign: 0.887 Malignant: 0.088 Normal: 0.025
5 6.0s – 9.0s Benign Benign: 0.802 Malignant: 0.162 Normal: 0.036
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.