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

arshad

Predicted: Benign Actual: Not set

Patient info

Age
57
Gender
male
Recorded
2026-02-24 17:34:43.777037 (UTC)
Duration
6.74 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.829
  • Malignant0.149
  • Normal0.022

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean186.913740
f0_median187.131813
f0_min169.660450
f0_max195.647976
f0_range25.987526
f0_sd7.248052
jitter_local0.022271
jitter_rap0.010601
jitter_ppq50.013407
shimmer_local0.140452
shimmer_apq30.053590
shimmer_apq50.081487
shimmer_apq110.235971
hnr_mean5.320555
cpp_mean9.555107
spectral_centroid2646.635648
spectral_flatness0.015638
zcr0.162001
spectral_rolloff_854185.419520
ltas_0_1k0.663946
ltas_1_2k0.099686
ltas_2_4k0.091267
ltas_4_8k0.134021

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.806 Malignant: 0.170 Normal: 0.024
2 1.5s – 4.5s Benign Benign: 0.827 Malignant: 0.151 Normal: 0.022
3 3.0s – 6.0s Benign Benign: 0.854 Malignant: 0.125 Normal: 0.020
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.