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

Neha

Predicted: Benign Actual: Not set

Patient info

Age
27
Gender
female
Recorded
2026-02-11 19:28:43.088141 (UTC)
Duration
6.87 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.792
  • Malignant0.176
  • Normal0.032

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean187.081868
f0_median187.182352
f0_min167.535894
f0_max226.933575
f0_range59.397681
f0_sd11.632062
jitter_local0.022794
jitter_rap0.010628
jitter_ppq50.015241
shimmer_local0.120155
shimmer_apq30.043773
shimmer_apq50.074697
shimmer_apq110.143729
hnr_mean15.805837
cpp_mean10.319288
spectral_centroid1179.481985
spectral_flatness0.003026
zcr0.052873
spectral_rolloff_851880.625528
ltas_0_1k0.991066
ltas_1_2k0.001435
ltas_2_4k0.003225
ltas_4_8k0.003600

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.787 Malignant: 0.181 Normal: 0.032
2 1.5s – 4.5s Benign Benign: 0.801 Malignant: 0.169 Normal: 0.030
3 3.0s – 6.0s Benign Benign: 0.787 Malignant: 0.179 Normal: 0.034
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.