DHMM-Based Speech Recognition Program Implementation
A MATLAB-implemented speech recognition system utilizing Discrete Hidden Markov Models (DHMM) with feature extraction and pattern matching capabilities
Professional MATLAB source code with comprehensive documentation and examples
A MATLAB-implemented speech recognition system utilizing Discrete Hidden Markov Models (DHMM) with feature extraction and pattern matching capabilities
A self-developed Vector Quantization (VQ) speech recognition code implementation, highly practical for voice pattern identification and classification tasks
Linear Predictive Analysis (LPA) stands as one of the most fundamental techniques in modern speech signal processing. It has significantly contributed to the rapid advancement of speech technology and finds extensive applications in speech analysis,
The TIMIT Speech Database serves as a valuable resource for speech researchers, providing enhanced support with code-ready datasets and implementation frameworks.
This approach delivers effective speech signal enhancement in noisy conditions through straightforward, easily understandable algorithms and implementation methods
A comprehensive MATLAB-based speech recognition system designed to convert spoken input into text output using advanced signal processing algorithms and feature extraction techniques.
Processing an analog strong noise random signal within audio frequency range (containing strong noise + periodic signal) to extract the target signal, with calculations of mean, average power, variance, frequency spectrum, power spectral density, and
Self-developed algorithm for extracting MFCC (Mel-frequency cepstral coefficients) parameters from audio signals, implemented in MATLAB with comprehensive code documentation. Welcome researchers and developers to reference and utilize this implementa
A practical source code implementation for voice signal endpoint detection, featuring robust algorithm design and reusable functions suitable for real-world applications.
Quantized audio digital watermarking using wavelet transform, featuring complete code for watermark embedding, extraction, and attack simulations with algorithm implementation details.
Double talk algorithm integrating echo cancellation and speech enhancement techniques for accurate speech endpoint detection in noisy environments
Provides MATLAB/Python code implementations for calculating segmental Signal-to-Noise Ratio (segSNR) and Itakura-Saito (IS) distance metrics, designed for evaluating speech enhancement algorithms with detailed parameter explanations and usage example
Source code implementation of the fundamental wavelet transform denoising algorithm for speech signal processing, providing valuable reference material for beginners with MATLAB code examples and implementation details.
Seeking feedback and suggestions for my undergraduate graduation project on voice-controlled car using speech recognition technology
Source code for dynamic time warping (DTW) implementation demonstrating feature vector extraction and comparison in speech recognition systems
Implementation of spectral subtraction algorithm in MATLAB environment for processing noisy speech containing stationary noise. The original speech file should be named "origin.wmv", while the processed output will be saved as "enhanced.wmv". The pro
Source code for Berkeley's microphone array speech signal processing implementation along with related technical documentation and research papers.
Algorithm Implementation for Objective Audio Quality Assessment Following ITU-R BS.1387 Standard Specifications
MATLAB implementation for GMM speaker recognition model training, requiring integration with Voicebox toolbox for MFCC feature extraction and k-means clustering initialization.
A comprehensive speech recognition MATLAB program developed after extensive research, featuring practical implementations of audio processing algorithms and pattern recognition techniques for educational and application purposes.