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

deepesh

Predicted: Benign Actual: Not set

Patient info

Age
44
Gender
male
Recorded
2026-02-24 17:31:20.214719 (UTC)
Duration
7.77 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.883
  • Malignant0.091
  • Normal0.025

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean137.015675
f0_median136.177828
f0_min130.772788
f0_max145.399822
f0_range14.627034
f0_sd3.707546
jitter_local0.011761
jitter_rap0.005515
jitter_ppq50.006366
shimmer_local0.143105
shimmer_apq30.062330
shimmer_apq50.091520
shimmer_apq110.155890
hnr_mean8.463432
cpp_mean11.003832
spectral_centroid1562.128153
spectral_flatness0.003830
zcr0.100211
spectral_rolloff_852523.940096
ltas_0_1k0.421331
ltas_1_2k0.478494
ltas_2_4k0.095301
ltas_4_8k0.000427

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.897 Malignant: 0.081 Normal: 0.022
2 1.5s – 4.5s Benign Benign: 0.862 Malignant: 0.113 Normal: 0.025
3 3.0s – 6.0s Benign Benign: 0.863 Malignant: 0.109 Normal: 0.028
4 4.5s – 7.5s Benign Benign: 0.911 Malignant: 0.063 Normal: 0.026
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.