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

satish

Predicted: Benign Actual: Not set

Patient info

Age
28
Gender
male
Recorded
2026-02-18 16:13:41.071254 (UTC)
Duration
8.19 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.785
  • Malignant0.180
  • Normal0.035

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean359.045494
f0_median362.152246
f0_min307.497672
f0_max392.445573
f0_range84.947901
f0_sd23.338629
jitter_local0.009268
jitter_rap0.004877
jitter_ppq50.005887
shimmer_local0.088766
shimmer_apq30.042530
shimmer_apq50.056697
shimmer_apq110.083152
hnr_mean15.367824
cpp_mean9.440250
spectral_centroid2285.289834
spectral_flatness0.003630
zcr0.115454
spectral_rolloff_854259.123402
ltas_0_1k0.637502
ltas_1_2k0.281458
ltas_2_4k0.057023
ltas_4_8k0.018277

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.843 Malignant: 0.130 Normal: 0.028
2 1.5s – 4.5s Benign Benign: 0.767 Malignant: 0.195 Normal: 0.039
3 3.0s – 6.0s Benign Benign: 0.770 Malignant: 0.190 Normal: 0.040
4 4.5s – 7.5s Benign Benign: 0.761 Malignant: 0.205 Normal: 0.034
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.