MATLAB Implementation for Voice Activity Detection

This MATLAB program implements voice activity detection (VAD), an algorithm specifically designed to identify the precise start and end points of speech segments within audio signals. The implementation enables accurate determination of speech boundaries, which is crucial for subsequent speech processing and analysis tasks. Developed using MATLAB, the program employs signal processing techniques such as short-term energy analysis, zero-crossing rate calculations, and spectral feature extraction to achieve high efficiency and accuracy across diverse acoustic environments. Key functions include frame-based audio segmentation, threshold adaptive optimization, and noise robustness mechanisms that ensure reliable performance even in low signal-to-noise ratio conditions. As a fundamental tool in speech signal processing, this VAD implementation finds extensive applications in speech recognition systems, speech synthesis pipelines, voice enhancement algorithms, and other audio analysis domains. The code structure modularizes core components including feature extraction modules, decision logic handlers, and post-processing filters to facilitate customization and integration with larger speech processing workflows.