MATLAB Implementation of Hidden Markov Model (HMM) for Speech Recognition
MATLAB-based implementation of Hidden Markov Model (HMM), a crucial technique in speech recognition systems, featuring algorithm explanation and practical code examples
Professional MATLAB source code with comprehensive documentation and examples
MATLAB-based implementation of Hidden Markov Model (HMM), a crucial technique in speech recognition systems, featuring algorithm explanation and practical code examples
This is a comprehensive speaker recognition and verification system developed using MATLAB, implementing advanced audio signal processing and pattern recognition algorithms for accurate speaker identification.
This set of programs implements additive Gaussian noise removal through bispectral analysis and wavelet transforms. Key implementations include: 1. Bispectral analysis program for single variables calculating third-order cumulants and Fourier transfo
Implementing cepstral analysis to extract spectral envelope and pitch frequency from speech signals, with MATLAB code implementation insights.
An endpoint detection program developed in MATLAB for speech processing applications, featuring algorithm implementation and technical insights for signal analysis professionals
1. Generate a continuous signal containing low, medium, and high frequency components, perform sampling and spectral analysis. Design three types of filters (high-pass, low-pass, and band-pass) to process the signal and observe the spectrum of filter
Feature clustering in speech signal processing implemented using MATLAB with code-related algorithm explanations
A program utilizing short-time zero-crossing rate for voice activity detection, achieving high recognition accuracy in endpoint detection processes with robust signal processing techniques
The Levinson-Durbin Algorithm for Linear Predictive Control in Speech Processing and Spectral Envelope Estimation
This audio codec implements Linear Predictive Coding (LPC) for speech compression, tested on both male and female speech samples recorded via PC microphone and wavefiles from the TIMIT database. The implementation demonstrates effective compression w
Implementation of blind signal processing algorithms for speech recognition using MATLAB development environment with comprehensive code examples
MATLAB implementation of digital audio watermarking using advanced embedding algorithms for copyright protection and authentication
MATLAB-based psychoacoustic model source code designed for audio coding research, featuring perceptual threshold analysis and masking effect algorithms.
Blind Source Separation Algorithm for audio signal processing, utilizing ICA-based methods to isolate speech signals for speech recognition applications with code implementation examples
MATLAB source code implementation for speech denoising through wavelet transform-based speech enhancement technique
Digital speech recognition for numbers 0-9 with MATLAB implementation featuring both training and recognition capabilities
Voice activity detection is a crucial preprocessing step for extracting feature parameters in speech compression applications, and this program provides a practical MATLAB implementation of this process with signal processing algorithm explanations f
MATLAB code for audio retrieval system developed during my first year of graduate studies, featuring efficient audio matching algorithms and practical implementation examples
This project involves recording a 15-30 second voice sample, processing it through MATLAB using functions like wavread and sound, and conducting comprehensive signal analysis including time-domain waveform plotting, power spectrum calculation at 1-se
Short-term analysis of speech signals includes key components such as frame splitting, short-term energy, short-term average magnitude, short-term zero-crossing rate, short-term autocorrelation function, short-term magnitude difference, cepstrum, com