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

mohd zakir

Predicted: Benign Actual: Not set

Patient info

Age
55
Gender
male
Recorded
2026-02-18 16:08:12.002414 (UTC)
Duration
8.62 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.652
  • Malignant0.319
  • Normal0.029

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean164.331097
f0_median161.598048
f0_min146.098031
f0_max193.303655
f0_range47.205625
f0_sd13.296083
jitter_local0.024595
jitter_rap0.015037
jitter_ppq50.017335
shimmer_local0.144121
shimmer_apq30.066166
shimmer_apq50.094885
shimmer_apq110.159544
hnr_mean9.533246
cpp_mean9.194449
spectral_centroid1616.470238
spectral_flatness0.003568
zcr0.105484
spectral_rolloff_852467.551238
ltas_0_1k0.703243
ltas_1_2k0.090368
ltas_2_4k0.181754
ltas_4_8k0.023546

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.784 Malignant: 0.182 Normal: 0.033
2 1.5s – 4.5s Benign Benign: 0.784 Malignant: 0.182 Normal: 0.033
3 3.0s – 6.0s Benign Benign: 0.775 Malignant: 0.195 Normal: 0.030
4 4.5s – 7.5s Malignant Benign: 0.264 Malignant: 0.718 Normal: 0.018
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.