Professional MATLAB source code with comprehensive documentation and examples
Time-frequency analysis of speech signals is a crucial area of research. Speech recognition technology, as one of the key technologies driving the development of intelligent and automated information societies, holds significant research importance a
Voice Quality Assessment - Key Techniques and Code Implementation for Speech Quality Evaluation in Communication Systems
A beginner-friendly audio processing program utilizing Fast Fourier Transform (FFT) for spectral analysis and implementing noise reduction algorithms, serving as an ideal experimental framework for learning digital signal processing fundamentals.
MATLAB-based source code for audio watermarking white noise attack experiments, featuring multiple attack simulations, GUI interface, and data visualization tools for comprehensive digital watermark analysis.
This MATLAB-based program implements isolated word speech recognition through preprocessing, MFCC feature extraction, and DTW algorithm comparison, with potential for LabVIEW integration to enhance functionality
MATLAB source code for speech signal analysis including harmonic analysis, intensity analysis, and source analysis. This software package comprises a collection of MATLAB routines designed for comprehensive prosodic analysis of speech signals, featur
Implementation of audio watermarking system including embedding and extraction processes using MATLAB. Original audio files provided with detailed code documentation covering algorithms like DCT and LSB techniques.
A video vehicle detection solution implemented using MATLAB, achieving over 90% accuracy in testing through computer vision algorithms and AI techniques
A widely popular attack software designed specifically for testing the robustness of audio watermarks. Note: The official homepage link is currently inaccessible.
A 4-element microphone array solution for speech dereverberation, ideal for students and developers studying array-based reverberation removal techniques with practical implementation insights.
Minimum Mean Square Error (MMSE) Speech Enhancement Algorithm - an efficient and straightforward approach for noise reduction without residual musical noise artifacts
1. Implement LPC, LPCC, and MFCC coefficient extraction for one vowel and one unvoiced consonant using MATLAB, focusing on autocorrelation method for LPC/LPCC. 2. Perform LPC-based power spectrum estimation for both speech signals using 5th, 10th, 15
Implementation of isolated word speech recognition using Hidden Markov Model (HMM) through MATLAB programming
This file contains MATLAB source code for an audio signal spectrum analyzer with frequency domain analysis capabilities
MFCC Feature Extraction for Speech Parameters with Emotion Differentiation Capabilities and Algorithm Implementation Insights
Speaker-dependent speech emotion recognition system keywords: speech signals, emotional features, emotion recognition. Includes research paper, source code with modular architecture (feature extraction, classification modules), experimental datasets
Implementation of FIR low-pass, band-pass, and high-pass filters optimized for speech frequency bands, including code-based design methodologies for voice signal processing applications.
This program implements speech signal analysis through Short-Time Fourier Transform, including windowing and framing processing with detailed code implementation for spectral feature extraction
A room impulse response generation algorithm that simulates realistic acoustic environments, implemented using digital signal processing techniques to model room acoustics.
Speech enhancement algorithm based on LSA-MMSE method with modified prior SNR estimator, following Isal's paper methodology. Includes music noise elimination during speech gaps with detailed code implementation.