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

Shasyashil kumar

Predicted: Benign Actual: Not set

Patient info

Age
57
Gender
male
Recorded
2026-03-12 06:53:28.753855 (UTC)
Duration
7.94 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.665
  • Malignant0.312
  • Normal0.023

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean160.497492
f0_median160.038986
f0_min152.172386
f0_max164.986634
f0_range12.814248
f0_sd3.308678
jitter_local0.014383
jitter_rap0.008264
jitter_ppq50.008943
shimmer_local0.138308
shimmer_apq30.061678
shimmer_apq50.078346
shimmer_apq110.141397
hnr_mean10.743390
cpp_mean11.044943
spectral_centroid2659.870891
spectral_flatness0.014624
zcr0.176287
spectral_rolloff_855053.169404
ltas_0_1k0.678668
ltas_1_2k0.220202
ltas_2_4k0.009228
ltas_4_8k0.090856

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.844 Malignant: 0.130 Normal: 0.027
2 1.5s – 4.5s Malignant Benign: 0.176 Malignant: 0.820 Normal: 0.003
3 3.0s – 6.0s Benign Benign: 0.761 Malignant: 0.204 Normal: 0.035
4 4.5s – 7.5s Benign Benign: 0.878 Malignant: 0.095 Normal: 0.026
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.