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

shaukel

Predicted: Benign Actual: Not set

Patient info

Age
55
Gender
male
Recorded
2026-02-18 16:27:04.308971 (UTC)
Duration
7.51 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.739
  • Malignant0.244
  • Normal0.017

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean79.778587
f0_median77.839890
f0_min75.149518
f0_max84.376507
f0_range9.226989
f0_sd3.806285
jitter_local0.021862
jitter_rap0.013171
jitter_ppq50.016231
shimmer_local0.126239
shimmer_apq30.048503
shimmer_apq50.093797
shimmer_apq110.024640
hnr_mean2.476001
cpp_mean6.694836
spectral_centroid3917.126275
spectral_flatness0.046001
zcr0.261850
spectral_rolloff_856650.136390
ltas_0_1k0.282516
ltas_1_2k0.248691
ltas_2_4k0.058199
ltas_4_8k0.294615

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.930 Malignant: 0.057 Normal: 0.013
2 1.5s – 4.5s Benign Benign: 0.934 Malignant: 0.051 Normal: 0.015
3 3.0s – 6.0s Benign Benign: 0.770 Malignant: 0.195 Normal: 0.035
4 4.5s – 7.5s Malignant Benign: 0.322 Malignant: 0.675 Normal: 0.003
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.