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

raju

Predicted: Benign Actual: Not set

Patient info

Age
40
Gender
male
Recorded
2026-02-18 15:58:51.978778 (UTC)
Duration
7.17 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.812
  • Malignant0.167
  • Normal0.021

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean139.278345
f0_median138.616114
f0_min116.099698
f0_max163.186088
f0_range47.086389
f0_sd8.698364
jitter_local0.014413
jitter_rap0.007602
jitter_ppq50.009136
shimmer_local0.142313
shimmer_apq30.058306
shimmer_apq50.084840
shimmer_apq110.170817
hnr_mean10.309514
cpp_mean10.341287
spectral_centroid2300.444022
spectral_flatness0.014192
zcr0.130783
spectral_rolloff_854044.460139
ltas_0_1k0.771939
ltas_1_2k0.052660
ltas_2_4k0.018486
ltas_4_8k0.075567

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.812 Malignant: 0.168 Normal: 0.021
2 1.5s – 4.5s Benign Benign: 0.812 Malignant: 0.166 Normal: 0.022
3 3.0s – 6.0s Benign Benign: 0.812 Malignant: 0.168 Normal: 0.021
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.