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

Alok Verma

Predicted: Benign Actual: Not set

Patient info

Age
26
Gender
male
Recorded
2026-02-24 09:12:57.309614 (UTC)
Duration
4.10 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.787
  • Malignant0.181
  • Normal0.031

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean173.760884
f0_median171.312351
f0_min155.289739
f0_max192.291612
f0_range37.001874
f0_sd10.099881
jitter_local0.017940
jitter_rap0.008862
jitter_ppq50.011241
shimmer_local0.109349
shimmer_apq30.034955
shimmer_apq50.065298
shimmer_apq110.180376
hnr_mean15.566568
cpp_mean14.922242
spectral_centroid739.269244
spectral_flatness0.000010
zcr0.033854
spectral_rolloff_851265.299988
ltas_0_1k0.952192
ltas_1_2k0.043745
ltas_2_4k0.003121
ltas_4_8k0.000229

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.787 Malignant: 0.181 Normal: 0.031
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.