VAD Algorithm Source Code

This repository provides the complete source code implementation of the Voice Activity Detection (VAD) algorithm, serving as a comprehensive reference for silence detection methodologies. The VAD algorithm constitutes a critical component in speech signal processing systems, designed to accurately identify silent segments within audio signals, thereby enabling more precise analysis and processing of speech data. Our implementation includes core functions such as energy calculation, spectral analysis, and threshold-based decision making, allowing developers to examine detailed algorithmic workflows. By studying this source code, you can gain deep insights into VAD implementation specifics, including frame processing techniques and feature extraction methods, facilitating optimization and enhancement for various applications. We additionally provide comprehensive documentation with code annotations and practical usage examples demonstrating real-time audio processing capabilities. These resources are structured to support your understanding and application of this algorithm, advancing your expertise in speech signal processing domains.