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

pranshu

Predicted: Benign Actual: Not set

Patient info

Age
53
Gender
male
Recorded
2026-02-24 17:24:55.697002 (UTC)
Duration
10.15 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.705
  • Malignant0.275
  • Normal0.020

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean103.621839
f0_median104.090451
f0_min92.957731
f0_max112.782241
f0_range19.824510
f0_sd5.772100
jitter_local0.022543
jitter_rap0.012112
jitter_ppq50.013807
shimmer_local0.163184
shimmer_apq30.071755
shimmer_apq50.100605
shimmer_apq110.189495
hnr_mean4.940209
cpp_mean10.044431
spectral_centroid2814.337186
spectral_flatness0.017671
zcr0.185343
spectral_rolloff_854607.293218
ltas_0_1k0.486396
ltas_1_2k0.278213
ltas_2_4k0.170976
ltas_4_8k0.059950

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.869 Malignant: 0.109 Normal: 0.023
2 1.5s – 4.5s Benign Benign: 0.880 Malignant: 0.101 Normal: 0.019
3 3.0s – 6.0s Benign Benign: 0.806 Malignant: 0.168 Normal: 0.026
4 4.5s – 7.5s Benign Benign: 0.833 Malignant: 0.142 Normal: 0.025
5 6.0s – 9.0s Malignant Benign: 0.137 Malignant: 0.855 Normal: 0.007
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.