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

salim

Predicted: Benign Actual: Not set

Patient info

Age
57
Gender
male
Recorded
2026-02-24 17:24:09.369615 (UTC)
Duration
10.67 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.704
  • Malignant0.276
  • Normal0.021

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean89.576576
f0_median87.033654
f0_min83.550404
f0_max107.723068
f0_range24.172664
f0_sd7.117595
jitter_local0.022192
jitter_rap0.011174
jitter_ppq50.013240
shimmer_local0.204328
shimmer_apq30.070116
shimmer_apq50.099657
shimmer_apq110.195428
hnr_mean6.104182
cpp_mean7.096337
spectral_centroid1999.587901
spectral_flatness0.013676
zcr0.123144
spectral_rolloff_853238.602527
ltas_0_1k0.539247
ltas_1_2k0.350335
ltas_2_4k0.050410
ltas_4_8k0.047981

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.880 Malignant: 0.103 Normal: 0.016
2 1.5s – 4.5s Benign Benign: 0.785 Malignant: 0.186 Normal: 0.029
3 3.0s – 6.0s Benign Benign: 0.781 Malignant: 0.194 Normal: 0.026
4 4.5s – 7.5s Benign Benign: 0.784 Malignant: 0.193 Normal: 0.023
5 6.0s – 9.0s Benign Benign: 0.857 Malignant: 0.119 Normal: 0.025
6 7.5s – 10.5s Malignant Benign: 0.135 Malignant: 0.859 Normal: 0.006
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.