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

arif

Predicted: Benign Actual: Not set

Patient info

Age
54
Gender
male
Recorded
2026-02-24 17:35:20.334576 (UTC)
Duration
9.22 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.709
  • Malignant0.269
  • Normal0.021

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean104.736808
f0_median103.322715
f0_min95.130853
f0_max139.255395
f0_range44.124541
f0_sd9.385810
jitter_local0.012500
jitter_rap0.005626
jitter_ppq50.006765
shimmer_local0.145892
shimmer_apq30.054122
shimmer_apq50.080635
shimmer_apq110.111972
hnr_mean6.897411
cpp_mean11.662165
spectral_centroid2584.208310
spectral_flatness0.012746
zcr0.155926
spectral_rolloff_854264.591776
ltas_0_1k0.488154
ltas_1_2k0.263080
ltas_2_4k0.114802
ltas_4_8k0.103447

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.852 Malignant: 0.120 Normal: 0.027
2 1.5s – 4.5s Benign Benign: 0.874 Malignant: 0.105 Normal: 0.020
3 3.0s – 6.0s Benign Benign: 0.825 Malignant: 0.146 Normal: 0.029
4 4.5s – 7.5s Benign Benign: 0.828 Malignant: 0.145 Normal: 0.027
5 6.0s – 9.0s Malignant Benign: 0.166 Malignant: 0.829 Normal: 0.005
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.