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

Divyanshi devi

Predicted: Benign Actual: Not set

Patient info

Age
20
Gender
female
Recorded
2026-03-12 06:21:59.721881 (UTC)
Duration
9.39 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.539
  • Malignant0.435
  • Normal0.025

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean216.578851
f0_median216.546915
f0_min208.025577
f0_max219.486071
f0_sd1.850819
f0_range11.460493
jitter_local0.030513
jitter_rap0.017368
jitter_ppq50.023059
shimmer_local0.092079
shimmer_apq30.039920
shimmer_apq50.027556
shimmer_apq110.044920
hnr_mean11.576303
cpp_mean7.471194
spectral_centroid1634.374865
spectral_flatness0.003477
zcr0.083890
spectral_rolloff_853560.677765
ltas_0_1k0.951337
ltas_1_2k0.031100
ltas_2_4k0.004885
ltas_4_8k0.012405

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.110 Malignant: 0.884 Normal: 0.005
2 1.5s – 4.5s Malignant Benign: 0.162 Malignant: 0.833 Normal: 0.005
3 3.0s – 6.0s Benign Benign: 0.810 Malignant: 0.151 Normal: 0.039
4 4.5s – 7.5s Benign Benign: 0.809 Malignant: 0.154 Normal: 0.038
5 6.0s – 9.0s Benign Benign: 0.806 Malignant: 0.154 Normal: 0.039
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.