VQ-Based Speaker-Dependent Isolated Word Speech Recognition
Implementation of speaker-dependent isolated word speech recognition using Vector Quantization (VQ) method, including pre-recorded audio samples in .wav format
Explore MATLAB source code curated for "语音识别" with clean implementations, documentation, and examples.
Implementation of speaker-dependent isolated word speech recognition using Vector Quantization (VQ) method, including pre-recorded audio samples in .wav format
MATLAB speech recognition algorithm implementation featuring preprocessing, feature extraction, training, and recognition phases using Hidden Markov Models (HMM)
Implementation of isolated word recognition based on BP neural network with pre-trained word models, serving as the foundation for speech recognition systems with code-level implementation insights.
Front-end technologies in speech recognition systems with focus on pitch period detection algorithms and implementation approaches
This program accepts speech input and automatically performs voice recognition. The application can be launched via gui_try.m, which serves as the main entry point for the custom-developed speech recognition system featuring a comprehensive graphical user interface.
Speech Recognition Based on Markov Models with Implementation Insights
Dynamic Time Warping (DTW) algorithm for speech recognition with practical reference value, featuring implementation insights and pattern matching applications.
MFCC Feature Extraction Algorithm Development in MATLAB for Speech Recognition Systems
Speech recognition system implementation in MATLAB featuring detailed code comments, achieving 95% accuracy through optimized algorithms and model training
MATLAB-based speech recognition implementation utilizing Hidden Markov Model (HMM) algorithm with feature extraction and acoustic modeling techniques