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

Neha Chaudhary

Predicted: Benign Actual: Not set

Patient info

Age
28
Gender
female
Recorded
2026-03-30 04:53:06.419559 (UTC)
Duration
6.31 sec

Model prediction

Predicted: Benign

Probabilities

  • Benign0.790
  • Malignant0.168
  • Normal0.042

Set actual diagnosis

Aggregate features

FeatureValue
f0_mean177.620285
f0_median177.353668
f0_min170.671609
f0_max190.846878
f0_range20.175269
f0_sd3.280185
jitter_local0.006358
jitter_rap0.003484
jitter_ppq50.003703
shimmer_local0.041735
shimmer_apq30.021008
shimmer_apq50.025126
shimmer_apq110.034456
hnr_mean16.794285
cpp_mean16.003199
spectral_centroid2017.056513
spectral_flatness0.003045
zcr0.068389
spectral_rolloff_854729.198778
ltas_0_1k0.878810
ltas_1_2k0.101684
ltas_2_4k0.004157
ltas_4_8k0.013425

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

Segment predictions

#TimeLabelProbabilities
1 0.0s – 3.0s Benign Benign: 0.794 Malignant: 0.164 Normal: 0.042
2 1.5s – 4.5s Benign Benign: 0.784 Malignant: 0.173 Normal: 0.043
3 3.0s – 6.0s Benign Benign: 0.792 Malignant: 0.167 Normal: 0.041
Disclaimer: This tool is for research purposes only. It must not be used for clinical diagnosis without validation.