Speech image data mining algorithm based on multimodal decision fusion

This paper proposes a data mining algorithm based on multimodal decision fusion, which is mainly used to solve the correlation relationship of multi-level and multi-level multimodal data, the algorithm combines the methods of statistics, queueing study, machine learning and Bayesian decision fusion, compared with the results obtained by single modality, single data and single method, the algorithm proposed in this paper retains the information contained in the data to the maximum extent, and the algorithm is applied to the analysis of both numerical and text-based data. The proposed algorithm can be further extended by modifying the data types and methods to form new methods.