The Acoustic Camouflage Phenomenon: Re-evaluating Speech Features for Financial Risk Prediction

ArXi:2604.14619v1 Announce Type: cross In computational paralinguistics, detecting cognitive load and deception from speech signals is a heavily researched domain. Recent efforts have attempted to apply these acoustic frameworks to corporate earnings calls to predict catastrophic stock market volatility. In this study, we empirically investigate the limits of acoustic feature extraction (pitch, jitter, and hesitation) when applied to highly trained speakers in in-the-wild teleconference environments.