Application of environmental thermal energy simulation and audio image processing in film and television animation sound design

Abstract

In modern film and television animation production, sound design is a key link to create a sense of realism and immersion. With the development of technology, traditional sound design methods have been unable to fully meet the growing needs of audiences. In this paper, the environmental thermal energy simulation technology is combined with audio image processing technology, and the thermal energy model is established by collecting temperature data in different environments. Then the thermal energy simulation software is used to simulate the influence of temperature change on sound propagation, including attenuation, reflection and refraction of sound. Simulation results are applied to sound design to create sound effects that match the characteristics of a particular environment. By analyzing the visual elements in the animation, the image features related to sound are extracted. Using the audio image processing algorithm, these features are matched and synchronized with the sound signal to ensure the perfect combination of sound effect and picture. Machine learning technology is also applied to train a large amount of audio and video data to improve the accuracy and efficiency of sound and image synchronization processing. The results show that the sound effect is more realistic: the environmental thermal energy simulation technology can accurately simulate the propagation characteristics of sound in different temperature environments, making the sound effect more real and dynamic. By automatically analyzing and processing large amounts of audio and video data, sound designers can quickly find the best sound effects, shorten design cycles and reduce production costs.