Research And Design On Key Technology Of Music Recognition On IOS Platform

As a branch of speech recognition, music recognition contains the compositionof science and art. As a natural phenomenon, music itself contains a large number ofinformation in different levels. Due to the professionalism of music, the complexity ofmusic theory, the variation of music style and other factors, the professional musicidentification products based on mobile devices are not many and imperfect. Thisstudy is based on this background.The main task of music recognition is to access music content information byaudio signal processing and feature extraction for comparison, classification orautomatically spectra recorded etc. In this paper, the key technology study of musicrecognition and the technology of development on Apple’s iOS platform is combinedto implement the combination of multimedia technology, signal processing, patternrecognition and music theory for music analysis and music parsing on iOS platformby computers.Key techniques of music recognition algorithms, audio processing andinteractive visualization techniques of the iOS platform are presented in this paper.Based on the relevant theory and technology of music recognition, the improvementand testing are implemented in this paper. To extract and study the music features ofaccording to the music theory and physics characteristics of music for in-depth studyof music characteristics such ad pitch and time value. Parallel processing method, theharmonic peak method and the wavelet transform are compared in time domain toimprove the pitch extraction method; Short-term zero plot, wavelet transform andcepstrum analysis are compared to improve the music segmentation algorithm. Experiments show that the improved music segmentation based on the combination ofadaptive threshold and short-term zero-product and the autocorrelation-based pitchextraction method are do good recognition rate. On the basis of feature extraction, thearticle discusses the difficulty and key points of related technologies on the iOS platform. Analyze audio processing, interactive visualization techniques on iOSplatform to design and realize the data model, the control module and the userinteraction module by making use of graphical interface and multi-touch screen oniOS devices.This paper has frist implement music recognition technology on iOS platformand detailed music recognition algorithms and the complete system framework andprocess. The key technology of music recognition on iOS platform implemented inthis paper can achieve the desired results and to meet certain requirements both in thetheory and the testing on hardware and software. It has value for the identification ofmusical notes, automatically musical notation, music editing and lays the foundationfor future research in this area and development.