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

ali

Predicted: Benign Actual: Not set

Patient info

Age
47
Gender
male
Recorded
2026-02-24 17:27:19.686210 (UTC)
Duration
9.56 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.718
  • Malignant0.262
  • Normal0.020

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean152.687156
f0_median146.266078
f0_min133.342254
f0_max199.727854
f0_sd22.260353
f0_range66.385600
jitter_local0.022179
jitter_rap0.011993
jitter_ppq50.014397
shimmer_local0.167540
shimmer_apq30.074634
shimmer_apq50.109776
shimmer_apq110.157885
hnr_mean6.305689
cpp_mean8.794122
spectral_centroid2191.472836
spectral_flatness0.006851
zcr0.140782
spectral_rolloff_853991.259510
ltas_0_1k0.613155
ltas_1_2k0.190429
ltas_2_4k0.151813
ltas_4_8k0.029236

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.182 Malignant: 0.813 Normal: 0.005
2 1.5s – 4.5s Benign Benign: 0.866 Malignant: 0.108 Normal: 0.026
3 3.0s – 6.0s Benign Benign: 0.874 Malignant: 0.102 Normal: 0.023
4 4.5s – 7.5s Benign Benign: 0.851 Malignant: 0.126 Normal: 0.024
5 6.0s – 9.0s Benign Benign: 0.815 Malignant: 0.161 Normal: 0.024
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.