Computing Short-Term Energy of Audio Signals
Calculate short-term energy and zero-crossing rate of audio signals, then perform voice activity endpoint detection with algorithmic implementation insights
Professional MATLAB source code with comprehensive documentation and examples
Calculate short-term energy and zero-crossing rate of audio signals, then perform voice activity endpoint detection with algorithmic implementation insights
Implementation of speaker-independent speech recognition through Hidden Markov Models (HMM) using MATLAB 7.5 [2008b], featuring feature extraction, model training, and pattern matching algorithms
Perform cepstral analysis on speech signals to generate signal waveforms and cepstrum graphs with MATLAB implementation details
MATLAB implementation for speech recognition preprocessing including endpoint detection, pre-emphasis, and windowing techniques with algorithmic explanations
OMP program designed for speech compressed sensing reconstruction algorithm, featuring efficient signal recovery through orthogonal matching pursuit with practical MATLAB/Python implementation guidance
Precise computation of one-third octave bands for speech or noise signals with implementation insights
Speech signal processing and speech recognition generally involve preprocessing, feature extraction, vectorization, and matching calculation stages. This guide explains how to implement filtering, framing, windowing, and endpoint detection on speech
A MATLAB-based voice recognition system implemented using Gaussian Mixture Model (GMM) methodology, featuring complete source code for reference and practical application in speech processing projects.
A MATLAB program utilizing wavelet transforms for speech signal denoising through threshold-based noise removal, featuring parameter optimization capabilities
A MATLAB-based speaker recognition and verification system implementing voiceprint identification algorithms, providing valuable reference code for studying biometric voice recognition technologies.
This method synthesizes virtual sound by convolving single-channel audio signals (such as standard speech, music, or other sound types lacking spatial information) with Head-Related Transfer Functions (HRTFs) to impart directional perception through
A comprehensive MATLAB program for speech recognition, including sample audio files and implementing various recognition algorithms such as feature extraction and pattern matching techniques.
A self-developed program implementing speech frame segmentation, windowing, noise reduction, and endpoint detection algorithms, successfully debugged and optimized for speech signal processing
Course Design Requirements and Objectives Speech recognition represents a critical component in human-computer interface design and serves as a vital application technology in speech signal processing. Vector Quantization (VQ) has demonstrated excell
Subspace Methods for Audio Enhancement - A Technical Overview of Subspace-Based Speech Enhancement Techniques
This repository provides MATLAB toolbox source code for speech signal processing, offering excellent reference value with implementation examples covering fundamental operations and advanced algorithms including voice activity detection, feature extr
This is a comprehensive source code for speaker recognition systems, providing practical implementation examples for speech processing applications
MATLAB-based speech recognition program featuring basic functionality implementation with potential for advanced feature integration
Implementation of basic audio feature extraction using MATLAB, including feature statistics, Energy Entropy Standard Deviation, mean information entropy, zero-crossing rate detection, spectral roll-off, and other essential audio analysis techniques w
Subspace algorithms represent a novel methodology in speech enhancement, with this document providing comprehensive simulations and code implementations to demonstrate their effectiveness compared to conventional methods.