Integrated Speech Frame Segmentation with Enframe Functionality

Resource Overview

This project integrates MATLAB m-file implementations for speech frame segmentation using enframe, wav file reading via wavread function, voice activity detection (VAD) endpoint recognition, and Dynamic Time Warping (DTW) algorithm.

Detailed Documentation

This project integrates multiple speech processing capabilities implemented through MATLAB m-files. The functionality includes frame-based segmentation of speech signals using the enframe method, waveform file reading through the wavread function for handling WAV audio files, voice activity detection (VAD) for endpoint identification in speech signals, and Dynamic Time Warping (DTW) algorithm for time series alignment and comparison. The implementation provides essential speech processing tools where: - Frame segmentation divides continuous speech into overlapping frames for short-term analysis - WAV file reading handles audio format decoding and signal extraction - VAD algorithms distinguish speech segments from silence using energy thresholds or spectral features - DTW implementation enables flexible time alignment for speech pattern recognition and comparison tasks All components are organized as modular MATLAB functions suitable for speech analysis applications.