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

mithun

Predicted: Benign Actual: Not set

Patient info

Age
46
Gender
male
Recorded
2026-02-24 17:30:42.367001 (UTC)
Duration
7.77 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.721
  • Malignant0.260
  • Normal0.019

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean114.458498
f0_median115.517987
f0_min103.963246
f0_max125.665789
f0_range21.702543
f0_sd5.963555
jitter_local0.021959
jitter_rap0.012242
jitter_ppq50.013585
shimmer_local0.142970
shimmer_apq30.066814
shimmer_apq50.094561
shimmer_apq110.138017
hnr_mean7.428128
cpp_mean10.813329
spectral_centroid2223.676285
spectral_flatness0.006827
zcr0.146757
spectral_rolloff_853530.067415
ltas_0_1k0.234082
ltas_1_2k0.455103
ltas_2_4k0.303257
ltas_4_8k0.003116

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.914 Malignant: 0.058 Normal: 0.029
2 1.5s – 4.5s Benign Benign: 0.919 Malignant: 0.061 Normal: 0.020
3 3.0s – 6.0s Benign Benign: 0.920 Malignant: 0.061 Normal: 0.019
4 4.5s – 7.5s Malignant Benign: 0.132 Malignant: 0.862 Normal: 0.006
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.