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

Satish Kumar

Predicted: Benign Actual: Not set

Patient info

Age
57
Gender
male
Recorded
2026-03-19 17:58:02.826867 (UTC)
Duration
4.44 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.810
  • Malignant0.152
  • Normal0.038

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean116.704828
f0_median116.335857
f0_min112.373031
f0_max121.136125
f0_range8.763094
f0_sd2.312479
jitter_local0.014787
jitter_rap0.006961
jitter_ppq50.010726
shimmer_local0.068350
shimmer_apq30.033214
shimmer_apq50.044034
shimmer_apq110.068951
hnr_mean18.101743
cpp_mean14.670063
spectral_centroid1048.512091
spectral_flatness0.000431
zcr0.037313
spectral_rolloff_852363.867188
ltas_0_1k0.985168
ltas_1_2k0.006844
ltas_2_4k0.003934
ltas_4_8k0.003940

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.810 Malignant: 0.152 Normal: 0.038
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.