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

harsh

Predicted: Benign Actual: Not set

Patient info

Age
45
Gender
male
Recorded
2026-02-18 16:32:06.027095 (UTC)
Duration
7.51 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.520
  • Malignant0.469
  • Normal0.011

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean81.790813
f0_median82.691195
f0_min78.614949
f0_max83.386878
f0_range4.771930
f0_sd1.933550
jitter_local0.038250
jitter_rap0.021199
jitter_ppq50.024694
shimmer_local0.212659
shimmer_apq30.091609
shimmer_apq50.140479
shimmer_apq110.101429
hnr_mean3.357026
cpp_mean7.226538
spectral_centroid4070.770767
spectral_flatness0.018729
zcr0.281006
spectral_rolloff_857212.380747
ltas_0_1k0.415165
ltas_1_2k0.279989
ltas_2_4k0.049976
ltas_4_8k0.162092

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.899 Malignant: 0.086 Normal: 0.015
2 1.5s – 4.5s Malignant Benign: 0.163 Malignant: 0.831 Normal: 0.005
3 3.0s – 6.0s Benign Benign: 0.858 Malignant: 0.120 Normal: 0.022
4 4.5s – 7.5s Malignant Benign: 0.159 Malignant: 0.837 Normal: 0.004
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.