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

Shiv pal singh

Predicted: Benign Actual: Not set

Patient info

Age
52
Gender
male
Recorded
2026-03-12 06:56:11.565237 (UTC)
Duration
8.87 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.795
  • Malignant0.165
  • Normal0.040

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean122.833304
f0_median122.900653
f0_min112.080120
f0_max132.527070
f0_range20.446950
f0_sd3.787504
jitter_local0.010307
jitter_rap0.005939
jitter_ppq50.005580
shimmer_local0.059495
shimmer_apq30.027542
shimmer_apq50.039375
shimmer_apq110.055022
hnr_mean15.373438
cpp_mean15.656243
spectral_centroid1417.589117
spectral_flatness0.000894
zcr0.063730
spectral_rolloff_852682.402535
ltas_0_1k0.904841
ltas_1_2k0.085170
ltas_2_4k0.000973
ltas_4_8k0.006549

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.795 Malignant: 0.163 Normal: 0.042
2 1.5s – 4.5s Benign Benign: 0.804 Malignant: 0.157 Normal: 0.039
3 3.0s – 6.0s Benign Benign: 0.811 Malignant: 0.150 Normal: 0.039
4 4.5s – 7.5s Benign Benign: 0.770 Malignant: 0.191 Normal: 0.039
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.