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

virendra

Predicted: Benign Actual: Not set

Patient info

Age
49
Gender
male
Recorded
2026-02-24 17:42:34.721084 (UTC)
Duration
6.49 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.863
  • Malignant0.113
  • Normal0.024

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean208.322521
f0_median206.752418
f0_min193.791952
f0_max227.570963
f0_range33.779011
f0_sd8.328077
jitter_local0.023108
jitter_rap0.013170
jitter_ppq50.012193
shimmer_local0.138984
shimmer_apq30.055034
shimmer_apq50.068350
shimmer_apq110.125874
hnr_mean6.973070
cpp_mean10.657977
spectral_centroid3303.680000
spectral_flatness0.011501
zcr0.199553
spectral_rolloff_856194.794800
ltas_0_1k0.405275
ltas_1_2k0.418159
ltas_2_4k0.078279
ltas_4_8k0.050599

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.872 Malignant: 0.100 Normal: 0.028
2 1.5s – 4.5s Benign Benign: 0.856 Malignant: 0.122 Normal: 0.021
3 3.0s – 6.0s Benign Benign: 0.861 Malignant: 0.116 Normal: 0.023
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.