Voice visualization method based on integration characteristic and neural network

The invention relates to a voice visualization method based on an integration characteristic and a neural network. The method is characterized by comprising the following eight steps of: preprocessing a voice signal, extracting characteristics, optimizing the characteristics, designing the neural network, mapping position information, encoding a main color, encoding pattern information and synthesizing an image. Different voice characteristics are integrated in an image to create a voice signal readable mode for a deaf mute, and images at different positions have different colors, so that the advantage that the deaf mute has higher color stimulated visual memory capacity is better utilized; moreover, tone characteristics are adopted to encode the pattern information in order to reduce a screen accommodating load and an observer memory burden; therefore, voices consisting of the same final and different tones are displayed at the same position. Compared with the conventional method, the voice visualization met