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

amar

Predicted: Benign Actual: Not set

Patient info

Age
29
Gender
male
Recorded
2026-02-24 17:28:03.668403 (UTC)
Duration
9.98 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.794
  • Malignant0.181
  • Normal0.025

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean163.660891
f0_median165.041520
f0_min150.554677
f0_max177.624100
f0_range27.069423
f0_sd7.210136
jitter_local0.011751
jitter_rap0.005974
jitter_ppq50.007115
shimmer_local0.134865
shimmer_apq30.056668
shimmer_apq50.086042
shimmer_apq110.161217
hnr_mean10.697463
cpp_mean11.839005
spectral_centroid2085.341483
spectral_flatness0.007693
zcr0.114220
spectral_rolloff_853628.000679
ltas_0_1k0.762087
ltas_1_2k0.189115
ltas_2_4k0.034296
ltas_4_8k0.006442

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.790 Malignant: 0.187 Normal: 0.024
2 1.5s – 4.5s Benign Benign: 0.784 Malignant: 0.192 Normal: 0.024
3 3.0s – 6.0s Benign Benign: 0.798 Malignant: 0.175 Normal: 0.027
4 4.5s – 7.5s Benign Benign: 0.798 Malignant: 0.176 Normal: 0.026
5 6.0s – 9.0s Benign Benign: 0.801 Malignant: 0.175 Normal: 0.024
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.