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

ram raj

Predicted: Benign Actual: Not set

Patient info

Age
49
Gender
male
Recorded
2026-02-24 17:32:33.043097 (UTC)
Duration
6.83 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.791
  • Malignant0.182
  • Normal0.026

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean182.124156
f0_median185.950256
f0_min153.696188
f0_max213.144795
f0_range59.448607
f0_sd18.204807
jitter_local0.015432
jitter_rap0.007974
jitter_ppq50.009517
shimmer_local0.144022
shimmer_apq30.065627
shimmer_apq50.087286
shimmer_apq110.164445
hnr_mean12.394110
cpp_mean9.124465
spectral_centroid2008.530823
spectral_flatness0.005108
zcr0.112867
spectral_rolloff_853349.932586
ltas_0_1k0.663151
ltas_1_2k0.312170
ltas_2_4k0.012179
ltas_4_8k0.010458

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.796 Malignant: 0.177 Normal: 0.027
2 1.5s – 4.5s Benign Benign: 0.792 Malignant: 0.185 Normal: 0.024
3 3.0s – 6.0s Benign Benign: 0.786 Malignant: 0.185 Normal: 0.029
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.