Classification of speech enhancement methods

The commonly used speech enhancement algorithms are divided into the following categories: speech enhancement algorithm based on spectral subtraction, speech enhancement algorithm based on wavelet analysis, speech enhancement algorithm based on Kalman filter, speech enhancement method based on signal subspace, speech enhancement method based on auditory masking effect, speech enhancement method based on independent component analysis and speech enhancement method based on neural network. Here is just a brief introduction of various speech enhancement methods and processes, and we will further study after determining the direction.

Speech enhancement is not only related to the digital processing theory of speech signals, but also related to human hearing and phonetics. Furthermore, there are many sources of noise, and their characteristics are different due to different applications. Therefore, we must take different speech enhancement measures for different noises. Some speech enhancement algorithms have been proved to be effective in practical applications. It can be roughly divided into four categories: noise elimination, harmonic enhancement, speech synthesis based on parameter estimation and speech enhancement based on short-time spectrum estimation.