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

Arjit Singh

Predicted: Benign Actual: Not set

Patient info

Age
32
Gender
male
Recorded
2026-02-24 05:44:30.179684 (UTC)
Duration
5.89 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.794
  • Malignant0.176
  • Normal0.030

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean151.786342
f0_median151.701222
f0_min129.830484
f0_max179.414418
f0_range49.583934
f0_sd17.690989
jitter_local0.014334
jitter_rap0.006378
jitter_ppq50.006785
shimmer_local0.131839
shimmer_apq30.052496
shimmer_apq50.089613
shimmer_apq110.125245
hnr_mean11.480303
cpp_mean14.320619
spectral_centroid1427.806439
spectral_flatness0.007697
zcr0.089983
spectral_rolloff_852552.538473
ltas_0_1k0.917559
ltas_1_2k0.076886
ltas_2_4k0.004637
ltas_4_8k0.000697

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.794 Malignant: 0.176 Normal: 0.030
2 1.5s – 4.5s Benign Benign: 0.794 Malignant: 0.176 Normal: 0.030
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.