Professional MATLAB source code with comprehensive documentation and examples
An isolated word recognition system based on the Dynamic Time Warping (DTW) algorithm, implemented using MATLAB programming. The system performs endpoint detection on speech signals to extract effective speech segments from raw audio data, enabling a
This MATLAB voice toolbox provides essential functionality for various speech processing applications with comprehensive algorithm implementations
This implementation performs noise addition to speech signals followed by processing using low-pass, band-pass, and high-pass filters. The program runs perfectly, but requires careful attention to audio file path configuration to avoid runtime errors
Complete MATLAB program for speech recognition workflow with functional testing capabilities. This implementation includes signal preprocessing, feature extraction (MFCC), and classification algorithms. I'm sharing my foundational code library to hel
The Dynamic Time Warping (DTW) algorithm, rooted in dynamic programming principles, effectively addresses matching challenges arising from variations in utterance length and speaking rate across different speaker recordings.
MATLAB source code for speech signal subband coding implementation with detailed algorithm explanations and function descriptions
A speaker recognition program based on the Dynamic Time Warping (DTW) algorithm that utilizes both Linear Predictive Cepstral Coefficients (LPCC) and Linear Predictive Coding (LPC) parameters for enhanced speaker identification, achieving improved re
This isolated word speech recognition system leveraging vector quantization demonstrates excellent performance, implemented efficiently in MATLAB with robust code architecture.
A robust tool for MATLAB speech processing that enables convenient function calls for endpoint detection, feature parameter extraction, and speech recognition methods by simply adding the path to your working directory
Voice activity endpoint detection program utilizing energy thresholding with low computational complexity, suitable for real-time voice processing applications.
MATLAB source code implementation of FASTICA algorithm for speech signal separation, featuring independent component analysis (ICA) with optimized convergence and signal processing capabilities.
Design a digital audio effects processor capable of performing various audio effect processing on speech signals. Requirements: (1) Input speech signal source must be collected from real-world environments; (2) Implement at least 3 audio processing f
This program employs the NLMS (Normalized Least Mean Squares) algorithm to separate dual-channel speech signals, utilizing an echo canceller mathematical model with enhanced processed speech output, demonstrating significant performance improvements.
Speech enhancement algorithms including spectral subtraction, wavelet transform, and mathematical morphology methods, with comparative analysis of signal-to-noise ratio (SNR), spectrogram performance, and denoising effectiveness, discussing algorithm
An English speech database compatible with MATLAB, designed for speech synthesis and recognition tasks with comprehensive voice samples and feature extraction capabilities
A MATLAB-based Hidden Markov Model implementation method for isolated word speech recognition, featuring complete training and recognition algorithms with practical code implementation details.
A comprehensive guide covering MATLAB statements and code implementation details for audio recording, reading, writing, and playback operations
MATLAB implementation code for spectrograms, which represent the spectral characteristics of speech signals over time
Speech signal acquisition and preprocessing techniques Short-term energy analysis of speech signals Short-term zero-crossing rate analysis for speech Pitch period extraction using autocorrelation function Vehicle license plate recognition with speech
Speech signal denoising using wavelet analysis with voiced/unvoiced discrimination, implemented through multi-resolution signal processing and threshold-based noise reduction techniques.