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The Research and Application of the Note Recognition Algorithm Based on Nonlinear Characteristic

Author: LiuZuo
Tutor: QuJunHua；MaGeJun
School: North China Electric Power University (Beijing)
Course: Computer technology
Keywords: Notes to identify Phase Space Reconstruction Nonlinear characteristics EMD Principal Component Analysis
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 32
Quote: 0
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Abstract


Identify important research in the field of music signal analysis and processing of notes , note - recognition technology to create, manage , and the index of music database with important value , starting from the non-linear characteristics of the music signal studied corresponding identification method . In-depth study of music recognition method , frequency analysis means the deficiencies of the traditional methods of analysis of the system , and on the basis of the existing identification methods , the characteristic parameter combination classifier . Phase space reconstruction method to extract the nonlinear features of note signal characteristic parameters of choice , and the amount of acquired characteristics used in the note recognition experiments , their results show that the fixed parameter values ??, take note of the different types of method to extract characteristic parameters will result in the problem of certain notes nonlinear lost , and ultimately affect the recognition accuracy rate , therefore , in order to extract the characteristic parameters to better characterize the nonlinear nature of the note signal , the adaptive signal decomposition method applied to the signal pretreatment link , the original signal is broken down into sub-signals characteristic parameters , feature sub- signal phase space reconstruction . Meanwhile , in order to improve the recognition efficiency and reduce the time required for recognition , in addition , use of PCA method to extract the main component of the nonlinear characteristics , for classifier constructor and specific note identification experiment . The experimental results show that , based the notes recognition method of the nonlinear characteristics can be more accurately identify the type of the different musical notes , provides a feasible note identification method so as to the establishment of the music database , music information retrieval applications .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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