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

harshita

Predicted: Benign Actual: Not set

Patient info

Age
46
Gender
female
Recorded
2026-02-24 17:41:46.366030 (UTC)
Duration
7.77 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.669
  • Malignant0.305
  • Normal0.025

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean308.332322
f0_median308.164656
f0_min304.676902
f0_max313.356834
f0_range8.679933
f0_sd3.038567
jitter_local0.035941
jitter_rap0.018469
jitter_ppq50.020046
shimmer_local0.113933
shimmer_apq30.050415
shimmer_apq50.071431
shimmer_apq110.110501
hnr_mean6.290776
cpp_mean5.854972
spectral_centroid2830.988695
spectral_flatness0.019162
zcr0.193186
spectral_rolloff_854741.963313
ltas_0_1k0.419863
ltas_1_2k0.300561
ltas_2_4k0.254554
ltas_4_8k0.017429

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.845 Malignant: 0.131 Normal: 0.024
2 1.5s – 4.5s Benign Benign: 0.775 Malignant: 0.188 Normal: 0.037
3 3.0s – 6.0s Malignant Benign: 0.175 Malignant: 0.817 Normal: 0.008
4 4.5s – 7.5s Benign Benign: 0.882 Malignant: 0.086 Normal: 0.033
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.