Audio Signal Endpoint Detection
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In the provided context, we can develop a MATLAB program for audio signal endpoint detection. This implementation utilizes short-term average energy and short-term average zero-crossing rate algorithms to accurately identify the start and end points of speech segments. The program typically involves frame-based processing where each audio frame is analyzed for energy thresholds and zero-crossing patterns. Additionally, we can implement a signal-to-noise ratio (SNR) calculation module that computes the power ratio between the clean speech signal and background noise, providing quantitative assessment of audio clarity and noise levels. Key MATLAB functions employed may include frame segmentation using buffer(), energy calculation through mean square operations, and zero-crossing detection using diff() and sign() functions.
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