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

saleema begam

Predicted: Benign Actual: Not set

Patient info

Age
67
Gender
female
Recorded
2026-02-24 17:45:02.354570 (UTC)
Duration
8.36 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.504
  • Malignant0.479
  • Normal0.018

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean189.774153
f0_median197.540602
f0_min160.957911
f0_max211.135467
f0_sd19.663118
f0_range50.177556
jitter_local0.041722
jitter_rap0.021996
jitter_ppq50.030219
shimmer_local0.143126
shimmer_apq30.063272
shimmer_apq50.102108
shimmer_apq110.097679
hnr_mean3.505340
cpp_mean5.930417
spectral_centroid3308.788000
spectral_flatness0.072320
zcr0.219656
spectral_rolloff_856483.875216
ltas_0_1k0.241793
ltas_1_2k0.386441
ltas_2_4k0.254228
ltas_4_8k0.072254

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.045 Malignant: 0.953 Normal: 0.001
2 1.5s – 4.5s Malignant Benign: 0.181 Malignant: 0.811 Normal: 0.009
3 3.0s – 6.0s Benign Benign: 0.875 Malignant: 0.092 Normal: 0.033
4 4.5s – 7.5s Benign Benign: 0.913 Malignant: 0.059 Normal: 0.028
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.