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

sawsthi

Predicted: Benign Actual: Not set

Patient info

Age
25
Gender
female
Recorded
2026-02-18 16:15:45.279273 (UTC)
Duration
8.19 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.838
  • Malignant0.133
  • Normal0.029

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean310.279248
f0_median310.500779
f0_min305.741074
f0_max314.510784
f0_range8.769711
f0_sd2.078171
jitter_local0.025843
jitter_rap0.015549
jitter_ppq50.017490
shimmer_local0.145047
shimmer_apq30.068827
shimmer_apq50.092489
shimmer_apq110.151204
hnr_mean10.168635
cpp_mean7.866117
spectral_centroid2387.257220
spectral_flatness0.009159
zcr0.099399
spectral_rolloff_854917.754030
ltas_0_1k0.708003
ltas_1_2k0.263624
ltas_2_4k0.016388
ltas_4_8k0.007919

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.891 Malignant: 0.084 Normal: 0.025
2 1.5s – 4.5s Benign Benign: 0.805 Malignant: 0.157 Normal: 0.038
3 3.0s – 6.0s Benign Benign: 0.842 Malignant: 0.130 Normal: 0.028
4 4.5s – 7.5s Benign Benign: 0.812 Malignant: 0.162 Normal: 0.026
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.