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

yogesh

Predicted: Malignant Actual: Normal

Patient info

Age
28
Gender
male
Recorded
2026-02-18 16:04:56.397394 (UTC)
Duration
8.79 sec

Model prediction

Predicted: Malignant

Probabilities

  • Benign0.298
  • Malignant0.689
  • Normal0.014

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean24.561286
f0_median23.898012
f0_min22.951004
f0_max28.916453
f0_sd2.048207
f0_range5.965449
jitter_local0.045450
jitter_rap0.023938
jitter_ppq50.028374
shimmer_local0.215566
shimmer_apq30.114851
shimmer_apq50.124305
shimmer_apq110.000000
hnr_mean4.718803
cpp_mean7.414729
spectral_centroid1681.690708
spectral_flatness0.005099
zcr0.097976
spectral_rolloff_852850.457764
ltas_0_1k0.820138
ltas_1_2k0.146249
ltas_2_4k0.027609
ltas_4_8k0.000172

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.140 Malignant: 0.855 Normal: 0.005
2 1.5s – 4.5s Malignant Benign: 0.136 Malignant: 0.860 Normal: 0.004
3 3.0s – 6.0s Benign Benign: 0.775 Malignant: 0.185 Normal: 0.041
4 4.5s – 7.5s Malignant Benign: 0.140 Malignant: 0.856 Normal: 0.004
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.