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

satendra

Predicted: Benign Actual: Not set

Patient info

Age
44
Gender
male
Recorded
2026-02-18 16:29:31.959090 (UTC)
Duration
8.19 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.605
  • Malignant0.385
  • Normal0.010

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean117.183891
f0_median114.679929
f0_min101.004808
f0_max129.781049
f0_sd9.749798
f0_range28.776240
jitter_local0.039516
jitter_rap0.022654
jitter_ppq50.025818
shimmer_local0.191060
shimmer_apq30.086661
shimmer_apq50.084469
shimmer_apq110.094844
hnr_mean5.502496
cpp_mean6.787983
spectral_centroid4395.250440
spectral_flatness0.018525
zcr0.326665
spectral_rolloff_856718.229969
ltas_0_1k0.289344
ltas_1_2k0.099788
ltas_2_4k0.023336
ltas_4_8k0.424554

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.276 Malignant: 0.721 Normal: 0.003
2 1.5s – 4.5s Malignant Benign: 0.406 Malignant: 0.591 Normal: 0.003
3 3.0s – 6.0s Benign Benign: 0.918 Malignant: 0.070 Normal: 0.012
4 4.5s – 7.5s Benign Benign: 0.821 Malignant: 0.159 Normal: 0.020
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.