MATLAB Implementation of Endpoint Detection for Speech Processing

I have developed an endpoint detection program for speech processing using MATLAB. The implementation employs audio signal analysis techniques typically including energy threshold calculation, zero-crossing rate analysis, and spectral characteristics evaluation. Key functions used in the development involve MATLAB's audio processing toolbox for signal acquisition, framing, and feature extraction. The algorithm demonstrates practical approaches to detecting speech boundaries by analyzing amplitude variations and frequency components in audio signals. During the development process, I addressed challenges related to noise robustness and adaptive threshold determination, implementing solutions such as moving average filters and statistical voice activity detection methods. The final program provides reliable performance in identifying speech segments within audio data. For those interested in speech processing, I can share detailed information about the core algorithm, code structure, and parameter optimization techniques. The implementation showcases practical MATLAB programming approaches for digital signal processing tasks. I welcome opportunities for knowledge exchange and collaborative learning with professionals in this field.