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

neha

Predicted: Benign Actual: Not set

Patient info

Age
29
Gender
female
Recorded
2026-02-18 16:09:54.513735 (UTC)
Duration
6.14 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.785
  • Malignant0.184
  • Normal0.031

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean172.199216
f0_median169.445988
f0_min148.425635
f0_max205.701949
f0_range57.276314
f0_sd15.620041
jitter_local0.021298
jitter_rap0.010245
jitter_ppq50.013939
shimmer_local0.111104
shimmer_apq30.039898
shimmer_apq50.067885
shimmer_apq110.141602
hnr_mean10.717558
cpp_mean12.885031
spectral_centroid1711.591942
spectral_flatness0.002432
zcr0.077623
spectral_rolloff_853325.927929
ltas_0_1k0.877635
ltas_1_2k0.085095
ltas_2_4k0.030373
ltas_4_8k0.006149

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.785 Malignant: 0.184 Normal: 0.031
2 1.5s – 4.5s Benign Benign: 0.785 Malignant: 0.184 Normal: 0.031
3 3.0s – 6.0s Benign Benign: 0.784 Malignant: 0.183 Normal: 0.033
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.