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A hybrid recognition method based on convolution neural network and hmm-gmm proposed in this paper can greatly improve the accuracy of recognition in actual situations, even in the case of poor environment. In this paper, when recognizing gestures, we do not directly use pictures to recognize gestures, but recognize human joints in pictures to calculate the direction of gestures, and only recognize isolated words in their speech recognition. It is difficult to recognize many times and can be trained by neural network to obtain more accurate model. |
IEEE/ICACT20210159 Slide.17
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