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

srishti

Predicted: Benign Actual: Not set

Patient info

Age
26
Gender
female
Recorded
2026-02-18 16:10:31.566194 (UTC)
Duration
8.28 sec

Model prediction

Predicted: Benign

Probabilities

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

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean191.843558
f0_median181.204765
f0_min155.324527
f0_max274.867356
f0_range119.542829
f0_sd30.940751
jitter_local0.022285
jitter_rap0.010959
jitter_ppq50.013364
shimmer_local0.141613
shimmer_apq30.051284
shimmer_apq50.080189
shimmer_apq110.136573
hnr_mean14.334844
cpp_mean11.011509
spectral_centroid1100.194289
spectral_flatness0.000924
zcr0.051312
spectral_rolloff_852069.359228
ltas_0_1k0.979406
ltas_1_2k0.008838
ltas_2_4k0.010473
ltas_4_8k0.001118

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.794 Malignant: 0.175 Normal: 0.030
2 1.5s – 4.5s Benign Benign: 0.794 Malignant: 0.175 Normal: 0.030
3 3.0s – 6.0s Benign Benign: 0.786 Malignant: 0.180 Normal: 0.034
4 4.5s – 7.5s Benign Benign: 0.793 Malignant: 0.175 Normal: 0.032
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.