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

ramshankar

Predicted: Malignant Actual: Not set

Patient info

Age
44
Gender
male
Recorded
2026-02-18 16:00:33.772041 (UTC)
Duration
9.22 sec

Model prediction

Predicted: Malignant

Probabilities

  • Benign0.291
  • Malignant0.696
  • Normal0.013

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean94.150092
f0_median94.150092
f0_min94.150092
f0_max94.150092
f0_sd0.000000
f0_range0.000000
jitter_local0.057350
jitter_rap0.030168
jitter_ppq50.031096
shimmer_local0.192592
shimmer_apq30.090520
shimmer_apq50.084549
shimmer_apq110.052237
hnr_mean4.751763
cpp_mean5.384074
spectral_centroid3166.140922
spectral_flatness0.023702
zcr0.220624
spectral_rolloff_856041.388597
ltas_0_1k0.441152
ltas_1_2k0.121816
ltas_2_4k0.148433
ltas_4_8k0.167137

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.144 Malignant: 0.852 Normal: 0.004
2 1.5s – 4.5s Malignant Benign: 0.176 Malignant: 0.816 Normal: 0.008
3 3.0s – 6.0s Malignant Benign: 0.088 Malignant: 0.908 Normal: 0.004
4 4.5s – 7.5s Malignant Benign: 0.477 Malignant: 0.518 Normal: 0.005
5 6.0s – 9.0s Benign Benign: 0.568 Malignant: 0.387 Normal: 0.045
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.