Explore MATLAB source code curated for "语音识别系统" with clean implementations, documentation, and examples.
A comprehensive graduation project featuring a complete Hidden Markov Model (HMM) speech recognition system with integrated signal enhancement preprocessing module, implementing feature extraction and pattern matching algorithms.
A MATLAB-based voice recognition system implemented using Gaussian Mixture Model (GMM) methodology, featuring complete source code for reference and practical application in speech processing projects.
A MATLAB-implemented Hidden Markov Model (HMM) speech recognition system with comprehensive feature extraction and post-processing capabilities.
This project focuses on providing endpoint detection functionality for speech signals in voice recognition systems, with in-depth research and analysis primarily emphasizing endpoint detection in speech intervals. The implementation includes optimized algorithms for accurate speech boundary identification, featuring energy-based threshold detection and zero-crossing rate analysis to distinguish speech from background noise. (Includes complete software source code)
A MATLAB-based speech recognition system implementation comprising three M-files: HMM, DTW, and Record, featuring hidden Markov models, dynamic time warping algorithms, and voice recording capabilities.
Implementation of a Chinese speech recognition system using Continuous Density Hidden Markov Models (CD-HMM) in MATLAB environment with code-level implementation details.
This simple, compact MATLAB code implements speech recognition by comparing input audio signals with pre-stored voice templates; if a successful match occurs, an "access granted" signal is generated, otherwise an "access denied" signal is produced.
MATLAB Speech Recognition System with Research Applications at Shenzhen University - Implementation featuring audio processing algorithms, feature extraction techniques, and pattern recognition methods