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

suresh

Predicted: Malignant Actual: Not set

Patient info

Age
38
Gender
male
Recorded
2026-02-24 17:29:54.091010 (UTC)
Duration
6.40 sec

Model prediction

Predicted: Malignant

Probabilities

  • Benign0.159
  • Malignant0.825
  • Normal0.016

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean0.000000
f0_median0.000000
f0_min0.000000
f0_max0.000000
f0_sd0.000000
f0_range0.000000
jitter_local0.036887
jitter_rap0.018994
jitter_ppq50.020263
shimmer_local0.194415
shimmer_apq30.086267
shimmer_apq50.081117
shimmer_apq110.046456
hnr_mean3.891251
cpp_mean6.787462
spectral_centroid2620.778663
spectral_flatness0.013144
zcr0.181659
spectral_rolloff_854820.538800
ltas_0_1k0.261391
ltas_1_2k0.206441
ltas_2_4k0.516807
ltas_4_8k0.003392

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Malignant Benign: 0.168 Malignant: 0.814 Normal: 0.018
2 1.5s – 4.5s Malignant Benign: 0.124 Malignant: 0.871 Normal: 0.005
3 3.0s – 6.0s Malignant Benign: 0.186 Malignant: 0.789 Normal: 0.025
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.