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

khaleem

Predicted: Benign Actual: Not set

Patient info

Age
63
Gender
male
Recorded
2026-02-24 17:40:12.528406 (UTC)
Duration
10.24 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.759
  • Malignant0.226
  • Normal0.014

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean131.963724
f0_median130.407253
f0_min123.898722
f0_max159.611705
f0_range35.712983
f0_sd9.051083
jitter_local0.022756
jitter_rap0.011601
jitter_ppq50.014413
shimmer_local0.170515
shimmer_apq30.085087
shimmer_apq50.114461
shimmer_apq110.145453
hnr_mean4.331916
cpp_mean8.240835
spectral_centroid2905.669525
spectral_flatness0.014378
zcr0.169885
spectral_rolloff_855353.040446
ltas_0_1k0.312334
ltas_1_2k0.310350
ltas_2_4k0.077062
ltas_4_8k0.295259

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.886 Malignant: 0.095 Normal: 0.019
2 1.5s – 4.5s Malignant Benign: 0.175 Malignant: 0.820 Normal: 0.005
3 3.0s – 6.0s Benign Benign: 0.868 Malignant: 0.111 Normal: 0.021
4 4.5s – 7.5s Benign Benign: 0.906 Malignant: 0.075 Normal: 0.019
5 6.0s – 9.0s Benign Benign: 0.962 Malignant: 0.030 Normal: 0.008
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.