Spectral Entropy-Based Endpoint Detection Algorithm Implementation
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I would like to share the spectral entropy-based endpoint detection program I developed for my graduation project. This implementation was created after thorough research and study of spectral entropy algorithms, specifically designed to effectively handle speech signal endpoint detection problems. The program utilizes Fast Fourier Transform (FFT) for spectral analysis and calculates entropy values across frequency bands to identify speech/non-speech boundaries. Key functions include frame blocking, windowing, power spectrum computation, and entropy thresholding for accurate endpoint detection. I believe this implementation will be valuable for researchers and developers interested in speech signal processing applications. If you would like more technical details about the algorithm implementation or wish to discuss speech processing methodologies, please feel free to contact me via email.
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