Application Of Heuristic Search Algorithm In Computer Music Editing

In recent years,the use of computer information technology to achieve music editing is one of the important direction of the application of information technology in the field of music.In essence,with the help of information technology,the automatic generation of music can be realized,and the different computer algorithms can help the music editing process to achieve the final satisfactory results.The study found that the use of heuristic search algorithms,such as artificial neural network,simulated annealing algorithm and genetic algorithm,can effectively achieve the music editing process of self evolution,efficient control to achieve music editing.But from the current situation,the vast majority of heuristic search algorithm shows poor interactivity in the application process,the music editing rules with greater complexity,effective implementation of some music characteristics can not be editing music,making music and popular appreciation edited like a larger gap.In view of this,the paper chooses one of the heuristic search algorithm as the basis of genetic algorithm,and its application in music editing.This thesis first described the basic theory of computer genetic algorithm,especially the comprehensive introduction to the genetic algorithm,including the basic concept,the algorithm and the core operation,and its characteristics,lay the foundation for the research of the algorithm.Secondly,the basic principle of music editing on the use of heuristic search algorithm is analyzed,and the algorithm implementation steps for editing the main music music editing steps clear,mainly including encoding strategy,evaluation function definition,music editor of the initial population selection,crossover and mutation operation.Finally,a heuristic search algorithm based on the background,music editing expansion experiment and Analysis on specific interactive computer music editing system,the key to solve the problem is that the search space is limited,the music encoding method,determine the evaluation function.The results show that:the application of genetic algorithm in the music editing process,the use of human intervention in the fitness evaluation function,evaluation for music music editors values are different,each piece corresponds to the final evaluation value,the evaluation value will continue to perform with the genetic algorithm and present the evolution of the state,that is to say the music is most music editors awareness accepted in continuous evolution,more in line with the music editors appreciate habits.The research of this thesis,not only for the application of heuristic algorithm in the music editor study in the theory of a development and exploration,and the comprehensive application of computer technology,knowledge of music and speech processing technology,it has the important practical significance for the automation level and the ability to continue to promote music editing.