Vector Quantization (VQ) Implementation for Speech Recognition in MATLAB
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Resource Overview
MATLAB code implementation of Vector Quantization (VQ) for speech recognition systems, featuring signal vectorization and similarity matching algorithms with practical applications
Detailed Documentation
This is a MATLAB-based implementation of Vector Quantization (VQ) for speech recognition applications. The program employs VQ algorithms to convert speech signals into vector representations and performs similarity matching to achieve speech recognition objectives. The implementation includes key components such as feature extraction from audio signals, codebook generation using clustering algorithms like LBG (Linde-Buzo-Gray), and distance calculation for pattern matching. This resource provides practical code examples for developing speech recognition systems with efficient data compression and classification capabilities. We hope this implementation proves valuable for your speech processing projects!
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