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 17:58:45.701743 (UTC)
Duration
5.38 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.788
  • Malignant0.178
  • Normal0.035

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean111.737963
f0_median109.181274
f0_min104.549294
f0_max150.909213
f0_range46.359919
f0_sd8.914302
jitter_local0.021790
jitter_rap0.011767
jitter_ppq50.011100
shimmer_local0.114705
shimmer_apq30.060711
shimmer_apq50.069601
shimmer_apq110.096382
hnr_mean12.586757
cpp_mean9.731125
spectral_centroid1303.025872
spectral_flatness0.004618
zcr0.046774
spectral_rolloff_852759.440849
ltas_0_1k0.978045
ltas_1_2k0.006926
ltas_2_4k0.007291
ltas_4_8k0.007626

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.778 Malignant: 0.184 Normal: 0.038
2 1.5s – 4.5s Benign Benign: 0.797 Malignant: 0.171 Normal: 0.032
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.