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Study And Implement For Embedded Music Recognition System

Posted on:2009-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:W B LiangFull Text:PDF
GTID:2178360242490189Subject:Control theory, control engineering
Abstract/Summary:PDF Full Text Request
Music is an art. Music recognition is an embranchment of the speech recognition, it is a crossing of the science and the art. Because the music signal is very special,it is a ramdon signal, and the music theory is very complex, the products based on the embedded music recognition is a fat lot and with faultiness. In this new field,because of it's particularity,often need specially developing,in order to meet the needs of the society.In this paper, we designed a music recognition system based on TMS320VC5402 DSP, and make it come true. Firstly, we particularly explained the algorithmic of the music recognition. Then, we made a study of the music characteristic and the music recognition methods. As for the burrs of the music signal, we put forward a curve plastic method to eliminate the burrs. Considering the difficulties of detecting the point of the music speech, we made use of the multi-frequency energy curve to detect the end-point of the music signal with the crossing zeros rate. As for the disadvantages of the large operation and influence of the formant, we improved the AMDF theory with the linear prediction algorithmic to detect the error. In order to obtain the characteristic parameter of the music signal,wo calculate the MFCC parameter to obtain the template and the pending signal characteristic parameter. In order to improve the rate of the recognition, considering the disadvantages of the DTW algorithmic, we find a new method to improved the DTW algorithmic by broadening the point of the music signal and made simulation experimentation; As for the disadvantages of the contraposition grade to the pitch, cadent and sing name, we find a method to dynaic adjust the results of the recognition to improve the accuracy of the grade.As for the realization of hardware, the thesis depicts the realization of every part of music recognition system based on the TMS320VC5402 in detail; as for the development of software, the thesis gives the software design flow chart of the music recognition system, simulates the basic theory with MATLAB language and gives the simulation results. Well, with the characteristic parameters of the vocality and the instrumental music, we can recognize the input digit music speech successfully and put forward it's pitch, cadent, and sing name. The result is comform that the music recognition based on the TMS320VC5402 is run well and the accuracy reaches 96 percent.and it can meet the needs of the practicality application.
Keywords/Search Tags:Music Recognition, Point Detect, AMDF, DTW, Linear Prediction
PDF Full Text Request
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