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

gafur

Predicted: Benign Actual: Not set

Patient info

Age
64
Gender
male
Recorded
2026-02-24 17:45:37.644221 (UTC)
Duration
7.17 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.652
  • Malignant0.332
  • Normal0.016

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean190.479695
f0_median196.715363
f0_min161.037529
f0_max206.719762
f0_sd16.806708
f0_range45.682233
jitter_local0.026007
jitter_rap0.013521
jitter_ppq50.017158
shimmer_local0.140386
shimmer_apq30.064515
shimmer_apq50.072934
shimmer_apq110.082510
hnr_mean4.329686
cpp_mean5.944710
spectral_centroid3835.499996
spectral_flatness0.027866
zcr0.259158
spectral_rolloff_856560.863319
ltas_0_1k0.253716
ltas_1_2k0.195550
ltas_2_4k0.271215
ltas_4_8k0.188691

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.187 Malignant: 0.805 Normal: 0.008
2 1.5s – 4.5s Benign Benign: 0.941 Malignant: 0.047 Normal: 0.012
3 3.0s – 6.0s Benign Benign: 0.829 Malignant: 0.142 Normal: 0.029
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.