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

Bhavna

Predicted: Benign Actual: Not set

Patient info

Age
26
Gender
female
Recorded
2026-02-24 09:20:09.799646 (UTC)
Duration
10.84 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.781
  • Malignant0.187
  • Normal0.032

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean216.904648
f0_median211.611193
f0_min187.162744
f0_max275.509022
f0_range88.346278
f0_sd23.144099
jitter_local0.022375
jitter_rap0.011193
jitter_ppq50.012424
shimmer_local0.117825
shimmer_apq30.050550
shimmer_apq50.067162
shimmer_apq110.116404
hnr_mean11.726300
cpp_mean11.692484
spectral_centroid1690.314892
spectral_flatness0.019232
zcr0.101905
spectral_rolloff_852871.137060
ltas_0_1k0.798982
ltas_1_2k0.135576
ltas_2_4k0.053809
ltas_4_8k0.009422

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.767 Malignant: 0.200 Normal: 0.033
2 1.5s – 4.5s Benign Benign: 0.755 Malignant: 0.210 Normal: 0.034
3 3.0s – 6.0s Benign Benign: 0.808 Malignant: 0.166 Normal: 0.026
4 4.5s – 7.5s Benign Benign: 0.791 Malignant: 0.176 Normal: 0.033
5 6.0s – 9.0s Benign Benign: 0.776 Malignant: 0.191 Normal: 0.033
6 7.5s – 10.5s Benign Benign: 0.787 Malignant: 0.180 Normal: 0.033
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.