Voice Activity Detection with Adaptive Threshold Algorithm

To enhance speaker recognition performance in noisy environments, we propose a novel Speech Activity Detection (SAD) algorithm utilizing an adaptive threshold mechanism based on energy and zero-crossing rate features. The implementation involves dynamic threshold adjustment through real-time noise estimation and signal analysis.