Research on Automatic Classification and Recycling System of Mechanical Parts Based on Speech Recognition
Aiming at the problem of low accuracy of speech recognition caused by the complex noise environment in the traditional automatic sorting and recycling system for mechanical parts,a hybrid speech noise reduction algorithm is proposed,which makes use of spectral subtraction,Wiener filtering and wavelet threshold noise reduction to carry out multilevel noise reduction for speech,and then finally builds up experimental environments to validate the improved method,and the experimental results show that the improved method can improve the system's accuracy of speech recognition and enhance the system's sorting efficiency effectively.
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