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

jaydev

Predicted: Benign Actual: Not set

Patient info

Age
29
Gender
male
Recorded
2026-02-24 17:31:53.869598 (UTC)
Duration
6.06 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.648
  • Malignant0.328
  • Normal0.024

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean86.066801
f0_median79.387955
f0_min61.410332
f0_max130.119486
f0_range68.709154
f0_sd25.289370
jitter_local0.032457
jitter_rap0.019375
jitter_ppq50.022897
shimmer_local0.174963
shimmer_apq30.082649
shimmer_apq50.100368
shimmer_apq110.130491
hnr_mean5.698079
cpp_mean7.992779
spectral_centroid1813.562913
spectral_flatness0.001084
zcr0.118873
spectral_rolloff_853062.733321
ltas_0_1k0.136770
ltas_1_2k0.490432
ltas_2_4k0.366943
ltas_4_8k0.001428

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.909 Malignant: 0.061 Normal: 0.029
2 1.5s – 4.5s Malignant Benign: 0.147 Malignant: 0.839 Normal: 0.014
3 3.0s – 6.0s Benign Benign: 0.887 Malignant: 0.085 Normal: 0.028
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.