Adaptive Signal Processing Algorithms: LMS and RLS Classes
LMS and RLS algorithms in adaptive signal processing are highly suitable for research in speech enhancement and noise reduction applications
Speech Enhancement Implementation Using Adaptive Filtering Algorithms
MATLAB program for speech enhancement using adaptive filtering algorithms, includes noisy speech samples. Simply modify the filename in the M-file for immediate use, with implementation featuring adjustable filter parameters and real-time processing capabilities.
Spectral Subtraction for Speech Enhancement
MATLAB source code implementation of spectral subtraction algorithm for speech enhancement.
Multiple Noise Power Spectrum Estimation Algorithms for Speech Enhancement
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 evaluating different noise estimation techniques, with comprehensive details provided in the readme.txt file. Key features include implementations of minimum statistics, time-recursive averaging, and voice activity detection-based approaches.
Fundamental Spectral Subtraction in Speech Enhancement
This program implements the fundamental spectral subtraction algorithm for speech enhancement, ready for direct compilation and use with significant performance results
Kalman Filter Application in Speech Processing
This program implements Kalman filter algorithm for speech processing applications, effectively removing noise and achieving speech enhancement through state estimation and prediction techniques.
Code Implementation for Segmental SNR and Itakura-Saito Distance Calculation
Provides MATLAB/Python code implementations for calculating segmental Signal-to-Noise Ratio (segSNR) and Itakura-Saito (IS) distance metrics, designed for evaluating speech enhancement algorithms with detailed parameter explanations and usage examples.
Double Talk Algorithm Combining Echo Cancellation and Speech Enhancement Methods
Double talk algorithm integrating echo cancellation and speech enhancement techniques for accurate speech endpoint detection in noisy environments
Generalized Sidelobe Canceller
Implementation of Generalized Sidelobe Canceller (GSC) adaptive beamforming method with time-domain and frequency-domain filtering using LMS adaptive algorithm for speech enhancement. The package includes clean speech samples and noisy speech samples with different SNR ratios for experimental validation.
Dictionary Update Algorithm in Dictionary-Learning-Based Speech Enhancement
Approximate K-SVD algorithm for dictionary update in dictionary-learning-based speech enhancement, incorporating OMP algorithm for sparse coding to compute coefficient matrices with code-level implementation insights