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

farukh

Predicted: Benign Actual: Not set

Patient info

Age
60
Gender
male
Recorded
2026-02-24 17:36:15.388515 (UTC)
Duration
7.85 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.677
  • Malignant0.303
  • Normal0.020

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean245.618163
f0_median240.330549
f0_min213.368636
f0_max281.679145
f0_range68.310509
f0_sd22.378962
jitter_local0.041210
jitter_rap0.022403
jitter_ppq50.027919
shimmer_local0.159745
shimmer_apq30.076365
shimmer_apq50.117115
shimmer_apq110.183030
hnr_mean5.544990
cpp_mean5.872096
spectral_centroid2352.952826
spectral_flatness0.009240
zcr0.145836
spectral_rolloff_853956.829599
ltas_0_1k0.587686
ltas_1_2k0.212072
ltas_2_4k0.131254
ltas_4_8k0.066964

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.892 Malignant: 0.087 Normal: 0.021
2 1.5s – 4.5s Benign Benign: 0.800 Malignant: 0.172 Normal: 0.028
3 3.0s – 6.0s Benign Benign: 0.844 Malignant: 0.131 Normal: 0.024
4 4.5s – 7.5s Malignant Benign: 0.174 Malignant: 0.820 Normal: 0.006
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.