MATLAB Implementation of Speech Signal Processing with Mel Endpoint Detection
Mel endpoint detection performance evaluation after applying various noise reduction methods in speech signal processing, with MATLAB code implementation details
Analysis of Speech Signal Processing Through Filters
A comprehensive MATLAB-based filter analysis of speech signals, demonstrating practical implementation techniques including spectral analysis, time-domain processing, and frequency component extraction using built-in filter design functions - highly
Time Domain Processing of Speech Signals
Time domain processing techniques for speech signals, including short-time energy, short-time average magnitude, short-time zero-crossing rate, and short-time autocorrelation function analysis methods.
MATLAB Programming for Speech Recognition Using HMM
Hidden Markov Models (HMM) are widely requested for MATLAB-based speech recognition programming, providing robust algorithms for processing and analyzing speech signals.
Linear Features in Speech Signal Processing with MATLAB Implementation
Linear features in speech signal processing, including the calculation of energy entropy with MATLAB code - this implementation demonstrates second-order energy entropy computation for signal analysis
MATLAB Implementation of Hidden Markov Models for Isolated Word Speech Recognition
A MATLAB-based Hidden Markov Model implementation approach for isolated word speech recognition, featuring feature extraction, model training, and pattern recognition algorithms
Audio Signal Framing, Windowing, and Wavelet-Based Watermarking Implementation
The process involves framing and windowing of audio signals, performing 3rd-order wavelet transform on each frame, extracting approximation coefficient averages (typically zero), embedding binary images as watermarks, and implementing blind detection
Two Feature Extraction Methods in Speech Recognition: LPCC and MFCC
Overview of LPCC and MFCC feature extraction methods in speech recognition, along with text-independent DTW recognition algorithm and preprocessing noise cancellation techniques. These are thoroughly tested implementations with practical code integra
Front-End Technologies for Speech Recognition: Pitch Period Detection
Front-end technologies in speech recognition systems with focus on pitch period detection algorithms and implementation approaches
MATLAB Implementation of Wavelet Transform for Pitch Detection
Wavelet transform implementation for speech pitch detection, primarily used to identify vocal pitch periods, with comprehensive code description for wavelet decomposition and analysis
Framing Process for Sampled Speech Signals
Implementing frame segmentation on sampled speech signals and storing the framed signals as a matrix for further analysis
The Main Program for LMS Multi-Microphone Speech Denoising is lmsspdn
The primary implementation for LMS multi-microphone speech denoising is contained in lmsspdn.m, which utilizes the Least Mean Squares algorithm for adaptive noise reduction across multiple microphone inputs.
Isolated Word Recognition Using BP Neural Network
Implementation of isolated word recognition based on BP neural network with pre-trained word models, serving as the foundation for speech recognition systems with code-level implementation insights.
Real-Time Voice Signal Acquisition and Analysis System Using PC Sound Card and MATLAB
A comprehensive real-time voice signal acquisition and analysis system utilizing PC sound cards and MATLAB, featuring an intuitive graphical interface and robust functionality.
Audio Compression Using Wavelet Transform with Parameter Comparison
This program implements audio compression through wavelet transforms, enabling comparison of different wavelet functions and compression levels to analyze their impact on audio quality
MATLAB Speech Recognition Algorithm with HMM Implementation
MATLAB speech recognition algorithm implementation featuring preprocessing, feature extraction, training, and recognition phases using Hidden Markov Models (HMM)
MATLAB Speech Recognition Implementation
Application Background: This code analyzes speaker frequency characteristics using digital signal processing techniques for recording and playing back captured audio. The system processes and stores voice data for specific user identification. Key Te
Wavelet Transform MATLAB Implementation
MATLAB source code for wavelet transform implementation, designed for speech enhancement applications with effective noise reduction capabilities. Features straightforward algorithm implementation and clearly structured code.
Parameter Extraction for LPCC and MFCC in Speaker Recognition
Implementation of LPCC and MFCC parameter extraction algorithms for speaker recognition systems with code examples
Isolated Word Speech Recognition System Based on Dynamic Time Warping (DTW)
Implementation framework including speech database construction, audio preprocessing, frame segmentation, endpoint detection, and feature analysis with code-level algorithm explanations