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The hybrid recognition method based on convolution neural network and HMM GMM proposed in this paper can greatly improve the accuracy of recognition in the actual situation, even in the worse environment. In this paper, we do not use the picture to recognize the gesture directly, but recognize the human joint points in the picture. We can calculate the direction of the gesture, and only recognize isolated words in the aspect of speech recognition. It is difficult to recognize many times, and we can use neural network to train it to get a more accurate model. |
IEEE/ICACT20210159 Slide.16
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