Professional MATLAB source code with comprehensive documentation and examples
This course project involves acquiring speech signals via microphone and implementing filtering techniques for noise reduction. Developed on MATLAB 7.1 platform, the design process includes three key phases: capturing speech signals with spectral ana
This self-developed speaker recognition system utilizes MATLAB's Voice Toolbox and DTW Dynamic Time Warping algorithm, demonstrating high recognition accuracy through efficient voice signal processing and pattern matching techniques.
In recent years, speech analysis and synthesis technologies have achieved significant advancements driven by methodologies from natural language processing, signal processing, and stochastic process analysis, surpassing traditional speech computation
An SVM classifier designed for speech signal classification and recognition applications, featuring comprehensive content with selective implementation guidance for developers.
MATLAB source codes for speech processing, featuring spectrum analysis algorithms and related audio processing techniques.
Speech recognition system based on artificial neural networks (ANN) that combines LPC parameters extracted from speech signals with neural network classification, implemented and optimized using MATLAB
Various algorithms for voice signal endpoint detection, including time-domain short-term energy algorithm, short-term zero-crossing rate algorithm, and wavelet denoising procedures with implementation insights.
HMM-based isolated word speech recognition implementation featuring personalized voice recordings and key algorithmic components
Comprehensive speech processing toolbox featuring essential modules including frame segmentation, signal preprocessing, and fundamental frequency (F0) estimation algorithms
English literature and technical articles related to pitch period extraction algorithms in speech signal processing, with code implementation insights.
Classic implementation of FastICA for speech separation in MATLAB
This MATLAB-based source code implements speech emotion recognition, capable of analyzing human speech patterns and identifying emotional states such as happiness, sadness, and more through feature extraction and classification algorithms.
Wavelet Transform Method - Currently the hottest voice enhancement technique with excellent noise reduction effects, featuring implementation insights using MATLAB's wavelet toolbox functions like wavedec and waverec for multi-level decomposition and
HMM initial recognition estimation with compact implementation, ideal for learning Hidden Markov Model applications in speech processing with minimal code complexity.
Implementation and Analysis of False Acceptance Rate vs False Rejection Rate (DET Curve) in Speaker Recognition Algorithms
This MATLAB wavelet transform program for speech enhancement has been thoroughly tested with excellent performance results. The implementation demonstrates effective speech quality improvement through multi-resolution analysis.
A custom-developed spectral subtraction speech enhancement program incorporating VAD voice activity detection, implementing noise reduction algorithms through frequency domain analysis and threshold-based spectral component filtering.
A program for continuous digit speech recognition that extracts MFCC features and implements recognition using Dynamic Time Warping (DTW) algorithm, complete with comprehensive documentation
MATLAB implementation of the DTW algorithm for speech recognition with corresponding test programs, including feature extraction and template matching capabilities.
This experiment implements audio noise filtering using MATLAB, involving comprehensive analysis and selection of appropriate filters, with considerations for filter type, parameter optimization, and algorithmic approaches.