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

ashwani

Predicted: Benign Actual: Not set

Patient info

Age
33
Gender
male
Recorded
2026-02-18 15:50:55.775301 (UTC)
Duration
10.07 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.694
  • Malignant0.281
  • Normal0.025

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean186.848788
f0_median183.993908
f0_min171.834528
f0_max210.153633
f0_range38.319105
f0_sd11.884942
jitter_local0.041290
jitter_rap0.023159
jitter_ppq50.029056
shimmer_local0.177159
shimmer_apq30.070519
shimmer_apq50.092412
shimmer_apq110.151481
hnr_mean4.953026
cpp_mean7.747951
spectral_centroid2308.738139
spectral_flatness0.015697
zcr0.154891
spectral_rolloff_854012.847188
ltas_0_1k0.561370
ltas_1_2k0.340174
ltas_2_4k0.062082
ltas_4_8k0.022879

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.820 Malignant: 0.147 Normal: 0.034
2 1.5s – 4.5s Benign Benign: 0.866 Malignant: 0.108 Normal: 0.025
3 3.0s – 6.0s Benign Benign: 0.777 Malignant: 0.187 Normal: 0.036
4 4.5s – 7.5s Malignant Benign: 0.135 Malignant: 0.861 Normal: 0.004
5 6.0s – 9.0s Benign Benign: 0.873 Malignant: 0.102 Normal: 0.026
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.