ChatGPT Chinese speech automatic recognition method based on deep learning
In view of the problem that the traditional Chinese speech information recognition handles the speech noise insufficient and affects the recognition effect,this paper proposes a ChatGPT Chinese speech automatic recognition method based on deep learning.This method first performs the discrete Fourier transform of the original speech signal,and maps the linear frequency to the linear nonlinear frequency spectrum to extract the Chinese speech spectrum features.Then,the frequency response sum of the inverted spectrum is calculated,and a deep convolutional neural network is introduced to match the extracted features to determine the final identification results.Finally,the experiment is applied to prove the advancement of the proposed method.The test results show that the influence of noise on the recognition result is significantly weakened,and the overall CCER average of the method is 9.34%,and the application effect is good.
deep learningChinese speech recognitiondiscrete Fourier transformmerrill standard number
万方数据
维普
