Research On Musical Fountain Based On Musical Feature Recognition

In recent years,with the continuous development of society and science and technology,people began to have higher requirements on the surrounding leisure environment.Therefore,the music fountain with aesthetic feeling is more and more popular.The musical fountain is made by analyzing the audio characteristics of the music and then converting the analyzed audio signal into a control signal to a system of fountain control.these control signals make the melody of the music and the water of the fountain change synchronously,which makes the musical fountain show more vivid,colorful,charming.The previous music fountain in the intelligent control of this is not enough to do,most of the fountain or program-controlled,using the artificial off-line programming mode.This model will consume a large number of manpower and material resources,and many of the technical content of the music can only be dealt with simply,can not make the fountain more diverse.The market also has some computer automatic identification of the characteristics of the music fountain system.However,the identification of the characteristics of the music is relatively simple,can not reflect the connotation of music.This pattern of fountain performance is not rich enough to attract viewers.At present,the market is still relatively rare which is based on the rhythm of music,melody,performance speed,music and other characteristics of the emotional music fountain.In order to solve this problem,this article will focus on music fidelity based on music recognition,the specific research work is as follows:First of all,through the analysis of the basic properties and the structure of music,extracting the features of musical notes,the pitch,intensity and length etc.on the basis of feature extraction in the musical notes.Using algorithm,drawing the music bars,and extracting the feature vector.Then,according to the cosine of vector angle,the similarity of adjacent music bars is judged,connecting the music bars with similar feature vectors,dividing music into independent emotional passages.Then,through the classification of music pieces,the seven dimensional feature vector extracted from emotional music.The seven-dimensional vectors include the major third,the minor third,the playing speed,the beat,the intensity of the rhythm changes,the intensity of the average,the direction of the melody.Using the Arousal-Valence emotion model,the music is divided into four kinds of emotion(fierce,sad,calm,lively).Using the BP neural network as the music emotion recognition device,finding the mapping relationship between music feature space and emotion space,classifying music emotion,identifying the type of emotional passages.Finally,the basic structure and model of the program controller ware designed to matching the basic library of music fountain and the result music emotion recognition.The expression of emotion and the emotion expression in water was analyzed,and the implementation scheme of the music fountain was designed.