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

bablu

Predicted: Benign Actual: Not set

Patient info

Age
55
Gender
male
Recorded
2026-02-18 15:49:51.526122 (UTC)
Duration
10.07 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.789
  • Malignant0.180
  • Normal0.030

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean244.603904
f0_median247.611769
f0_min211.954743
f0_max260.060440
f0_range48.105697
f0_sd12.926244
jitter_local0.018842
jitter_rap0.009164
jitter_ppq50.011108
shimmer_local0.131155
shimmer_apq30.055805
shimmer_apq50.081971
shimmer_apq110.119399
hnr_mean14.143769
cpp_mean10.764162
spectral_centroid1154.104064
spectral_flatness0.000677
zcr0.058729
spectral_rolloff_851759.340684
ltas_0_1k0.846216
ltas_1_2k0.136821
ltas_2_4k0.008170
ltas_4_8k0.000265

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.798 Malignant: 0.176 Normal: 0.026
2 1.5s – 4.5s Benign Benign: 0.784 Malignant: 0.187 Normal: 0.029
3 3.0s – 6.0s Benign Benign: 0.774 Malignant: 0.192 Normal: 0.035
4 4.5s – 7.5s Benign Benign: 0.796 Malignant: 0.174 Normal: 0.031
5 6.0s – 9.0s Benign Benign: 0.796 Malignant: 0.174 Normal: 0.031
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.