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

prem sharan

Predicted: Benign Actual: Not set

Patient info

Age
64
Gender
male
Recorded
2026-02-24 17:38:41.941994 (UTC)
Duration
9.81 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.567
  • Malignant0.414
  • Normal0.020

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean127.750767
f0_median124.381132
f0_min116.885576
f0_max153.737791
f0_range36.852215
f0_sd13.215267
jitter_local0.031264
jitter_rap0.016823
jitter_ppq50.019302
shimmer_local0.148923
shimmer_apq30.074962
shimmer_apq50.099430
shimmer_apq110.131355
hnr_mean6.673982
cpp_mean9.010220
spectral_centroid2288.746982
spectral_flatness0.012921
zcr0.162401
spectral_rolloff_853747.211589
ltas_0_1k0.293884
ltas_1_2k0.604520
ltas_2_4k0.078440
ltas_4_8k0.016542

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.817 Malignant: 0.150 Normal: 0.033
2 1.5s – 4.5s Benign Benign: 0.902 Malignant: 0.078 Normal: 0.020
3 3.0s – 6.0s Benign Benign: 0.874 Malignant: 0.096 Normal: 0.031
4 4.5s – 7.5s Malignant Benign: 0.098 Malignant: 0.897 Normal: 0.005
5 6.0s – 9.0s Malignant Benign: 0.144 Malignant: 0.847 Normal: 0.009
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.