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

Shashyashel

Predicted: Benign Actual: Not set

Patient info

Age
57
Gender
male
Recorded
2026-03-17 06:41:40.784561 (UTC)
Duration
8.19 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.813
  • Malignant0.152
  • Normal0.035

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean113.551884
f0_median113.905862
f0_min108.140475
f0_max118.381221
f0_range10.240745
f0_sd2.718076
jitter_local0.010414
jitter_rap0.005488
jitter_ppq50.006370
shimmer_local0.092912
shimmer_apq30.050677
shimmer_apq50.058503
shimmer_apq110.070584
hnr_mean7.695011
cpp_mean14.880850
spectral_centroid2460.843683
spectral_flatness0.011346
zcr0.136379
spectral_rolloff_855453.097327
ltas_0_1k0.551669
ltas_1_2k0.374923
ltas_2_4k0.036375
ltas_4_8k0.029574

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.790 Malignant: 0.172 Normal: 0.038
2 3.0s – 6.0s Benign Benign: 0.835 Malignant: 0.134 Normal: 0.031
3 4.5s – 7.5s Benign Benign: 0.815 Malignant: 0.150 Normal: 0.035
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.