A Transformation Method from Lip Image Sequence to Speech Coding Parameters
A technology of speech coding and image sequence, applied in speech analysis, speech synthesis, computer parts and other directions, can solve the problems of complex conversion process, and achieve the effect of convenient construction and training
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[0048] The following is a specific implementation method, but the method and principle of the present invention are not limited to the specific numbers given therein.
[0049] (1) The predictor can be realized by artificial neural network. Predictors can also be constructed using other machine learning techniques. In the following process, the predictor uses a deep artificial neural network, that is, the predictor is equivalent to a deep artificial neural network;
[0050] like image 3 As shown, the artificial neural network is mainly composed of three convolutional LSTM network layers (ConvLSTM2D) and two fully connected layers (Dense) connected in sequence. Each ConvLSTM2D is followed by a pooling layer (MaxPooling2D), and there is a dropout layer (Dropout) in front of the two Dense layers. For clear structure, these are in image 3 is not drawn in.
[0051] Among them, the three layers of convolutional LSTM each have 80 neurons, and the first two layers use the "return...
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