Professional MATLAB source code with comprehensive documentation and examples
This analysis explores key aspects of speech signal processing using MATLAB, including short-time energy computation, endpoint detection algorithms, and power spectrum analysis with short-time Fourier transform characteristics. The study provides pra
Speech signal analysis, processing, and design. The MATLAB-based voice changer operates by modifying the input sound's frequency to alter timbre and pitch, creating perceptually different output. This dual modulation of timbre and pitch transforms vo
The melfb function used for MEL filter bank implementation during MFCC feature parameter extraction in speech recognition systems
A comprehensive toolbox designed for speech signal analysis and processing, featuring various algorithms and functions for audio enhancement and recognition tasks.
This implementation includes various noise power spectrum estimation algorithms designed for speech enhancement applications, utilizing standard spectral subtraction as the primary methodology. The framework serves as a comparative platform for evalu
MATLAB-based implementation of speech signal time-domain feature extraction including frame splitting, zero-crossing rate, short-term energy, and spectrogram analysis with code examples and algorithm explanations.
FastICA for speech signal separation - separating three mixed audio signals using independent component analysis with code implementation insights
Performing cepstral analysis on speech signals to examine their spectral magnitude characteristics
MATLAB source code implementation of the PSOLA algorithm for speech synthesis, including detailed algorithm explanation and key function descriptions.
CD-ROM Programs for the Speech Processing Section of "MATLAB Extended Programming"
A comprehensive and practical implementation of Gaussian Mixture Model (GMM) for speech recognition, featuring detailed code structure and algorithm explanations
Formant extraction technique using LPC linear prediction for speech signals is crucial for speech recognition and synthesis systems, involving key algorithms like autocorrelation analysis and root solving of prediction polynomials.
Comprehensive PDF documentation and MATLAB source code for speech collection and recognition, focusing on fundamental characteristics including timbre, pitch, and tone, with detailed algorithm implementations
MATLAB code for speech recognition including test audio samples, featuring implementation of both HMM (Hidden Markov Model) and DTW (Dynamic Time Warping) methods with detailed algorithm explanations and practical applications.
Custom implementation of adaptive noise cancellation speech enhancement algorithm that accounts for correlation between reference noise and input noise signals.
Speech separation approach based on Non-negative Matrix Factorization (NMF), implemented in MATLAB with signal processing toolbox integration
MATLAB source code implementation of spectral subtraction algorithm for speech enhancement.
Theory of wavelet denoising, threshold estimation and extraction, accompanied by MATLAB functions for threshold estimation and denoising, with applications in speech signal processing for voice enhancement.
MATLAB-based speech linear predictive analysis implementation report featuring code examples and spectrogram visualization techniques.
Implementation of digital watermarking for speech signals using the Least Significant Bit (LSB) algorithm, featuring detailed code comments and support for various audio signal formats