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

kallu

Predicted: Benign Actual: Not set

Patient info

Age
48
Gender
male
Recorded
2026-02-18 16:34:40.568387 (UTC)
Duration
9.05 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.744
  • Malignant0.230
  • Normal0.027

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean363.804476
f0_median367.991791
f0_min343.206491
f0_max381.588102
f0_range38.381611
f0_sd14.922901
jitter_local0.052794
jitter_rap0.030147
jitter_ppq50.036814
shimmer_local0.217552
shimmer_apq30.107853
shimmer_apq50.144113
shimmer_apq110.165010
hnr_mean6.172916
cpp_mean7.334514
spectral_centroid2356.795544
spectral_flatness0.008328
zcr0.145841
spectral_rolloff_854028.318704
ltas_0_1k0.144648
ltas_1_2k0.695663
ltas_2_4k0.138799
ltas_4_8k0.017121

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.918 Malignant: 0.056 Normal: 0.026
2 1.5s – 4.5s Benign Benign: 0.899 Malignant: 0.071 Normal: 0.030
3 3.0s – 6.0s Benign Benign: 0.870 Malignant: 0.085 Normal: 0.045
4 4.5s – 7.5s Malignant Benign: 0.127 Malignant: 0.867 Normal: 0.006
5 6.0s – 9.0s Benign Benign: 0.904 Malignant: 0.069 Normal: 0.027
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.