Speech Frame Processing: Framing, Windowing, Denoising, and Endpoint Detection

This document presents a custom-developed program for speech signal processing, specifically implementing frame segmentation, window application, noise reduction, and endpoint detection functionalities. The program has undergone successful debugging and demonstrates effective performance in processing speech signals, enabling robust subsequent analysis and practical applications.

The implementation utilizes overlapping frame segmentation with configurable frame length and shift parameters. Windowing operations employ Hamming or Hann windows to minimize spectral leakage. Noise reduction incorporates spectral subtraction algorithms with adaptive thresholding, while endpoint detection combines short-term energy and zero-crossing rate measurements with dual-threshold decision logic for reliable speech activity detection.

Key functions include frame-based processing loops, FFT-based spectral analysis, and statistical voice activity detection. The modular design allows independent testing of each component and facilitates parameter tuning for different speech processing scenarios.