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

ramkumar

Predicted: Benign Actual: Not set

Patient info

Age
35
Gender
male
Recorded
2026-02-18 16:39:29.684253 (UTC)
Duration
9.90 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.704
  • Malignant0.274
  • Normal0.023

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean221.486762
f0_median225.025936
f0_min201.524339
f0_max236.556165
f0_sd10.119305
f0_range35.031826
jitter_local0.022514
jitter_rap0.012427
jitter_ppq50.012915
shimmer_local0.135621
shimmer_apq30.064772
shimmer_apq50.073794
shimmer_apq110.104764
hnr_mean9.014275
cpp_mean10.917738
spectral_centroid3160.415554
spectral_flatness0.007655
zcr0.207566
spectral_rolloff_855217.700376
ltas_0_1k0.555584
ltas_1_2k0.180798
ltas_2_4k0.107827
ltas_4_8k0.109752

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.169 Malignant: 0.827 Normal: 0.004
2 1.5s – 4.5s Benign Benign: 0.819 Malignant: 0.155 Normal: 0.026
3 3.0s – 6.0s Benign Benign: 0.813 Malignant: 0.157 Normal: 0.030
4 4.5s – 7.5s Benign Benign: 0.813 Malignant: 0.157 Normal: 0.030
5 6.0s – 9.0s Benign Benign: 0.904 Malignant: 0.072 Normal: 0.024
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.