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

munish khan

Predicted: Benign Actual: Not set

Patient info

Age
46
Gender
male
Recorded
2026-02-18 16:03:27.822691 (UTC)
Duration
8.96 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.823
  • Malignant0.151
  • Normal0.026

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean179.716322
f0_median178.622152
f0_min172.873898
f0_max201.116237
f0_range28.242338
f0_sd5.865151
jitter_local0.024099
jitter_rap0.011907
jitter_ppq50.013178
shimmer_local0.178866
shimmer_apq30.072766
shimmer_apq50.101995
shimmer_apq110.110727
hnr_mean6.765116
cpp_mean8.385906
spectral_centroid2196.665329
spectral_flatness0.011127
zcr0.114045
spectral_rolloff_853710.988363
ltas_0_1k0.758772
ltas_1_2k0.165271
ltas_2_4k0.037558
ltas_4_8k0.027395

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.809 Malignant: 0.167 Normal: 0.024
2 1.5s – 4.5s Benign Benign: 0.786 Malignant: 0.183 Normal: 0.032
3 3.0s – 6.0s Benign Benign: 0.842 Malignant: 0.135 Normal: 0.023
4 4.5s – 7.5s Benign Benign: 0.855 Malignant: 0.120 Normal: 0.025
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.