Explore MATLAB source code curated for "语音增强" with clean implementations, documentation, and examples.
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.
Subspace Methods for Audio Enhancement - A Technical Overview of Subspace-Based Speech Enhancement Techniques
Load speech file, generate random noise, synthesize noisy speech signal, and define parameter settings. Step 2: Frame segmentation with 50% overlap. Step 3: Apply Hamming window and perform Fourier transform to obtain power spectrum and phase spectrum. Step 4: Execute magnitude spectral subtraction and use the noisy speech phase for signal resynthesis via inverse Fourier transform. Step 5: Remove Hamming window to obtain enhanced speech signal. Step 6: Calculate SNR before and after enhancement.
Insights on voice enhancement algorithms, including spectral subtraction adaptive filtering, auditory masking effects, and other techniques for improving speech signal quality.
Voice activity detection using spectral subtraction method, incorporating techniques such as speech enhancement, noise reduction, spectral subtraction, windowing, and endpoint detection algorithms with code implementation details
The Most Classic Algorithm for Speech Enhancement
A comprehensive MATLAB implementation for speech enhancement based on improved LMS and RLS adaptive algorithms, including data input/output processing, sequence handling, and adaptive enhancement algorithm modules with detailed code structure explanations.
A speech enhancement program developed in MATLAB that utilizes Wiener filtering for noise reduction and signal quality improvement, featuring adjustable parameters for optimal performance in various acoustic environments.
Implementing noise power spectrum estimation with the MCRA approach to achieve effective speech enhancement, including algorithm workflow and practical implementation considerations.
This MATLAB wavelet transform program for speech enhancement has been thoroughly tested with excellent performance results. The implementation demonstrates effective speech quality improvement through multi-resolution analysis.