A Simple Isolated Word Speech Recognition System
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Resource Overview
This MATLAB-based program implements isolated word speech recognition through preprocessing, MFCC feature extraction, and DTW algorithm comparison, with potential for LabVIEW integration to enhance functionality
Detailed Documentation
This program implements a simple isolated word speech recognition system using MATLAB. The implementation involves three key stages: preprocessing for noise reduction and signal normalization, Mel-Frequency Cepstral Coefficients (MFCC) extraction for feature vector generation, and Dynamic Time Warping (DTW) algorithm for pattern matching. The MFCC extraction process includes framing, windowing, FFT transformation, Mel-filterbank application, and DCT computation to capture speech characteristics. The DTW algorithm handles time alignment variations between reference and test patterns through dynamic programming optimization. For extended functionality, the system can be integrated with LabVIEW using MATLAB scripting nodes or COM interfaces to create a hybrid programming environment that leverages both platforms' strengths for improved performance and user interface capabilities.
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