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

indra sen

Predicted: Benign Actual: Not set

Patient info

Age
34
Gender
male
Recorded
2026-02-24 17:28:47.813224 (UTC)
Duration
7.59 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.667
  • Malignant0.314
  • Normal0.018

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean83.444454
f0_median81.410007
f0_min68.712547
f0_max96.449941
f0_sd7.645461
f0_range27.737393
jitter_local0.027739
jitter_rap0.013146
jitter_ppq50.014904
shimmer_local0.184463
shimmer_apq30.082926
shimmer_apq50.105169
shimmer_apq110.189707
hnr_mean6.163121
cpp_mean8.004653
spectral_centroid2961.084083
spectral_flatness0.024005
zcr0.194631
spectral_rolloff_855238.787748
ltas_0_1k0.554628
ltas_1_2k0.275633
ltas_2_4k0.105611
ltas_4_8k0.016447

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.130 Malignant: 0.866 Normal: 0.004
2 1.5s – 4.5s Benign Benign: 0.872 Malignant: 0.107 Normal: 0.021
3 3.0s – 6.0s Benign Benign: 0.837 Malignant: 0.140 Normal: 0.023
4 4.5s – 7.5s Benign Benign: 0.830 Malignant: 0.144 Normal: 0.025
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.