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

haleem

Predicted: Benign Actual: Not set

Patient info

Age
40
Gender
male
Recorded
2026-02-24 17:39:17.281225 (UTC)
Duration
8.96 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.908
  • Malignant0.067
  • Normal0.025

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean175.679696
f0_median172.369462
f0_min160.726157
f0_max211.591789
f0_range50.865632
f0_sd13.260682
jitter_local0.010927
jitter_rap0.004662
jitter_ppq50.005062
shimmer_local0.129213
shimmer_apq30.060002
shimmer_apq50.093389
shimmer_apq110.135850
hnr_mean8.487749
cpp_mean10.515119
spectral_centroid2306.379172
spectral_flatness0.010324
zcr0.159624
spectral_rolloff_853417.720923
ltas_0_1k0.146971
ltas_1_2k0.612046
ltas_2_4k0.189591
ltas_4_8k0.038732

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.883 Malignant: 0.083 Normal: 0.034
2 1.5s – 4.5s Benign Benign: 0.934 Malignant: 0.044 Normal: 0.022
3 3.0s – 6.0s Benign Benign: 0.905 Malignant: 0.073 Normal: 0.022
4 4.5s – 7.5s Benign Benign: 0.910 Malignant: 0.068 Normal: 0.022
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.