Noise Reduction System Applied to Machine Tools

This paper designs a noise reduction system applied to sound measurement in machinery factories. This paper implements a noise reduction system suitable for machine tools, using Deep Neural Network (DNN) to learn the relationship between noise and target audio, and design Mask as the learning target of DNN to separate noise and target audio. Finally, after the audio with noise is processed by the noise reduction system using ORM as Mask in this thesis, the influence of noise on the target audio is successfully reduced. The STOI score is increased by about 0.3, and the PESQ is increased by about 1.2~1.8. Different types of noise and design different parameters make the system more adaptable to different environmental noises.