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

deepika

Predicted: Benign Actual: Not set

Patient info

Age
34
Gender
female
Recorded
2026-02-18 16:28:51.782415 (UTC)
Duration
9.98 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.575
  • Malignant0.408
  • Normal0.016

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean168.111478
f0_median167.323486
f0_min155.032529
f0_max181.948513
f0_sd9.581085
f0_range26.915984
jitter_local0.036384
jitter_rap0.021952
jitter_ppq50.024384
shimmer_local0.174793
shimmer_apq30.088961
shimmer_apq50.143484
shimmer_apq110.136281
hnr_mean5.098697
cpp_mean7.711575
spectral_centroid3614.496308
spectral_flatness0.017267
zcr0.200049
spectral_rolloff_857200.040565
ltas_0_1k0.386398
ltas_1_2k0.394477
ltas_2_4k0.022956
ltas_4_8k0.097545

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.236 Malignant: 0.760 Normal: 0.003
2 1.5s – 4.5s Malignant Benign: 0.121 Malignant: 0.874 Normal: 0.005
3 3.0s – 6.0s Benign Benign: 0.860 Malignant: 0.119 Normal: 0.021
4 4.5s – 7.5s Benign Benign: 0.881 Malignant: 0.092 Normal: 0.027
5 6.0s – 9.0s Benign Benign: 0.779 Malignant: 0.196 Normal: 0.025
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.