NEURAL NETWORK AND METHOD AND DEVICE FOR ANALYSIS OF ACOUSTIC SIGNAL USING THE NETWORK

摘要

PURPOSE:To facilitate analysis of the obtained features by forming each layer of a neural network of =4 layers so as to analyze the layer structure for each factor and to realize the input for learning with a teacher to the intermediate layer from outside. CONSTITUTION:A 1st layer 24 of a neural network is formed into a 2-dimensional matrix corresponding to the basic physical feature values of the sound signal. The elements of a 2nd layer 25 are connected to all elements of the layer 24. Then the physical meaning of each element of the layer 25 is easily interpreted by checking the basic physical value of the elements of the layer 24 connected to each element of the layer 25 in a high degree of connection when the learning is through with a neuron net. In addition, some or all elements of a 3rd layer 26 are formed so as to reflect the voice element features in terms of the abstract meaning. The external learning is directly inputted in parallel with the learning value received from a 4th layer 27 by the back propagation. Thus the learning is performed in the form of the functions of said two types of learning. Thus it is possible to analyze the relation between the input voices and the output accordant with the purpose in response to the clear physical value.