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

kunal

Predicted: Benign Actual: Not set

Patient info

Age
29
Gender
male
Recorded
2026-02-24 17:25:37.397501 (UTC)
Duration
9.90 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.862
  • Malignant0.115
  • Normal0.023

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean102.009975
f0_median102.104421
f0_min94.724597
f0_max108.557877
f0_range13.833280
f0_sd3.319837
jitter_local0.020949
jitter_rap0.010491
jitter_ppq50.012387
shimmer_local0.181103
shimmer_apq30.073346
shimmer_apq50.111455
shimmer_apq110.269382
hnr_mean6.429051
cpp_mean8.643697
spectral_centroid2137.774010
spectral_flatness0.009292
zcr0.129333
spectral_rolloff_853731.124777
ltas_0_1k0.571326
ltas_1_2k0.253889
ltas_2_4k0.081529
ltas_4_8k0.087259

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.741 Malignant: 0.231 Normal: 0.027
2 1.5s – 4.5s Benign Benign: 0.897 Malignant: 0.076 Normal: 0.027
3 3.0s – 6.0s Benign Benign: 0.906 Malignant: 0.071 Normal: 0.023
4 4.5s – 7.5s Benign Benign: 0.906 Malignant: 0.079 Normal: 0.015
5 6.0s – 9.0s Benign Benign: 0.861 Malignant: 0.117 Normal: 0.022
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.