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.
关键词
深度学习/中文语音识别/离散傅里叶变换/美尔标数
Key words
deep learning/Chinese speech recognition/discrete Fourier transform/merrill standard number
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