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

dinesh

Predicted: Benign Actual: Not set

Patient info

Age
66
Gender
male
Recorded
2026-02-18 16:24:16.259512 (UTC)
Duration
8.96 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.764
  • Malignant0.214
  • Normal0.022

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean313.105509
f0_median310.690896
f0_min306.213050
f0_max333.609378
f0_sd8.418553
f0_range27.396328
jitter_local0.037151
jitter_rap0.021573
jitter_ppq50.027864
shimmer_local0.153957
shimmer_apq30.070227
shimmer_apq50.092402
shimmer_apq110.041111
hnr_mean6.283177
cpp_mean6.342611
spectral_centroid3320.146960
spectral_flatness0.014993
zcr0.217177
spectral_rolloff_856101.971436
ltas_0_1k0.139737
ltas_1_2k0.364901
ltas_2_4k0.313357
ltas_4_8k0.170438

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.345 Malignant: 0.652 Normal: 0.004
2 1.5s – 4.5s Benign Benign: 0.919 Malignant: 0.053 Normal: 0.028
3 3.0s – 6.0s Benign Benign: 0.938 Malignant: 0.046 Normal: 0.016
4 4.5s – 7.5s Benign Benign: 0.856 Malignant: 0.103 Normal: 0.040
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.