Research on speech denoising methods based on deep learning

Speech is the most common means of communication between people. In the field of human-computer interaction, speech is an indispensable medium for information transmission. However, due to the time-varying and unstable nature of speech, it is highly susceptible to various forms of noise interference during its transmission and reception, which leads to a decline in speech quality and the accuracy of information. This paper studies speech denoising methods based on deep learning and proposes an effective speech denoising model based on Long Short Term Memory Networks (LSTM). The proposed denoising model is applied to the field of speech recognition and compared with traditional denoising methods to demonstrate the superiority of using deep learning for speech denoising.