Vocal Biomarkers of Depression: 2D Acoustic Feature Analyzer

Speech carries measurable acoustic fingerprints of mood — pitch variability, speaking rate, pause behaviour and loudness dynamics all shift in documented, research-backed ways under depressive states. This 2D simulator renders a live scrolling pitch-contour graph, a syllable-pulse timeline and an intensity spectrogram of a synthesized utterance, all driven in real time by four adjustable acoustic parameters plus a playback-speed control. A composite logistic risk score, built from the same published feature-importance weighting as the 3D version, updates live as you drag the sliders, and you can drag the contour panel itself to rewind through the recent waveform and inspect exactly how monotone pitch, slowed rate, longer pauses and flattened loudness combine into the kind of signal that research-stage voice-analysis tools use to flag risk for clinician follow-up.