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

mahesh

Predicted: Benign Actual: Not set

Patient info

Age
22
Gender
male
Recorded
2026-02-18 16:17:55.911810 (UTC)
Duration
8.53 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.799
  • Malignant0.172
  • Normal0.029

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean288.786452
f0_median283.212969
f0_min234.829520
f0_max391.069927
f0_range156.240407
f0_sd39.869953
jitter_local0.049624
jitter_rap0.025082
jitter_ppq50.029303
shimmer_local0.225299
shimmer_apq30.113034
shimmer_apq50.153851
shimmer_apq110.206536
hnr_mean7.237727
cpp_mean5.470261
spectral_centroid968.580025
spectral_flatness0.002403
zcr0.047605
spectral_rolloff_851392.986629
ltas_0_1k0.992771
ltas_1_2k0.006900
ltas_2_4k0.000042
ltas_4_8k0.000046

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.787 Malignant: 0.184 Normal: 0.029
2 1.5s – 4.5s Benign Benign: 0.815 Malignant: 0.157 Normal: 0.029
3 3.0s – 6.0s Benign Benign: 0.807 Malignant: 0.165 Normal: 0.028
4 4.5s – 7.5s Benign Benign: 0.788 Malignant: 0.183 Normal: 0.029
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.