Explore MATLAB source code curated for "语音去噪" with clean implementations, documentation, and examples.
Speech denoising using wavelet packet decomposition with threshold estimation via entropy spectral probability density function to remove real-world environmental noise. The implementation involves signal decomposition, entropy-based threshold calculation, and coefficient processing for noise removal.
Implementing speech denoising using spectral subtraction with audio input functionality, ideal for removing additive noise from speech signals!
A MATLAB-based speech denoising low-pass filter implementation using Hamming window design. The provided MATLAB code (self-developed, fully executable when copied to .m file) implements windowed FIR filter design with frequency response visualization and signal processing capabilities.
MATLAB source code implementation for speech denoising through wavelet transform-based speech enhancement technique
MATLAB implementation of wavelet-based speech signal denoising processing, ready-to-run code with comprehensive testing and validation
Implementation of basic Kalman filtering and adaptive filtering techniques for speech denoising applications
This set of programs provides a wavelet transform-based speech denoising routine, where each program's specific functionality can be found in the source code.