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

mahendra

Predicted: Benign Actual: Not set

Patient info

Age
49
Gender
male
Recorded
2026-02-18 16:36:44.610212 (UTC)
Duration
9.81 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.514
  • Malignant0.480
  • Normal0.006

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean92.304888
f0_median92.001235
f0_min83.279814
f0_max100.990067
f0_sd4.455377
f0_range17.710253
jitter_local0.040012
jitter_rap0.022701
jitter_ppq50.022604
shimmer_local0.176608
shimmer_apq30.071847
shimmer_apq50.093170
shimmer_apq110.101821
hnr_mean4.031929
cpp_mean7.583415
spectral_centroid2956.241888
spectral_flatness0.014606
zcr0.212364
spectral_rolloff_854850.762182
ltas_0_1k0.503086
ltas_1_2k0.068923
ltas_2_4k0.035121
ltas_4_8k0.384426

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.139 Malignant: 0.858 Normal: 0.004
2 1.5s – 4.5s Malignant Benign: 0.386 Malignant: 0.611 Normal: 0.003
3 3.0s – 6.0s Benign Benign: 0.931 Malignant: 0.057 Normal: 0.011
4 4.5s – 7.5s Benign Benign: 0.926 Malignant: 0.065 Normal: 0.009
5 6.0s – 9.0s Malignant Benign: 0.188 Malignant: 0.808 Normal: 0.004
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.