Language Enhancement Technology Based on Machine Learning
This paper mainly studies the speech enhancement technology based on machine learning to improve the quality of speech signals.Firstly,introduce the framework of a speech enhancement system based on machine learning.Secondly,we will explore in detail the mathematical principles of speech enhancement methods that combine spectral subtraction with Deep Neural Networks(DNN).Finally,the proposed method was tested and evaluated using the NOISEX-92 dataset.The experimental results show that the speech enhancement method based on spectral subtraction and DNN has achieved significant results in improving signal-to-noise ratio and speech clarity,and can effectively improve the quality of speech communication.
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