The Implementation of Identification and Prediction of Music Rhythm by Microcontroller
碩士 === 逢甲大學 === 自動控制工程所 === 99 === In the past, most entertainment robots were moved by the database which was already saved. In this research, we developing a module that can analysis and predict real-time rhythm of music. However, this would allow entertainment robots to dance harmoniously accordi...
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ndltd-TW-099FCU051460222015-10-21T04:10:29Z http://ndltd.ncl.edu.tw/handle/31247537698787529233 The Implementation of Identification and Prediction of Music Rhythm by Microcontroller 以微控制器實現音樂節奏辨識與預測 Yu-Ren Chen 陳鈺仁 碩士 逢甲大學 自動控制工程所 99 In the past, most entertainment robots were moved by the database which was already saved. In this research, we developing a module that can analysis and predict real-time rhythm of music. However, this would allow entertainment robots to dance harmoniously according to the music given. We have chosen dsPIC33 chip to achieve the recognition of type and the prediction of beats in the music. Firstly, we use external circuit to filter signal before it enter into the chip due to the huge range of music’s frequency. Secondly, normalized it and do fast fourier transform(FFT), then extracted result of bands based on definition of ANSI’s octave. Thirdly, we obtained the main algorithm which can identified rhythm was through scatter diagram that formed by principle component analysis(PCA) and t-test. Fourthly, we use regression analysis to predict the next beat in order to present the real-time movement. Finally, transmit the result to robots through I2C and UART. Yue-Der Lin 林育德 2011 學位論文 ; thesis 73 zh-TW |
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碩士 === 逢甲大學 === 自動控制工程所 === 99 === In the past, most entertainment robots were moved by the database which was already saved. In this research, we developing a module that can analysis and predict real-time rhythm of music. However, this would allow entertainment robots to dance harmoniously according to the music given.
We have chosen dsPIC33 chip to achieve the recognition of type and the prediction of beats in the music. Firstly, we use external circuit to filter signal before it enter into the chip due to the huge range of music’s frequency. Secondly, normalized it and do fast fourier transform(FFT), then extracted result of bands based on definition of ANSI’s octave. Thirdly, we obtained the main algorithm which can identified rhythm was through scatter diagram that formed by principle component analysis(PCA) and t-test. Fourthly, we use regression analysis to predict the next beat in order to present the real-time movement. Finally, transmit the result to robots through I2C and UART.
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Yue-Der Lin |
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Yue-Der Lin Yu-Ren Chen 陳鈺仁 |
author |
Yu-Ren Chen 陳鈺仁 |
spellingShingle |
Yu-Ren Chen 陳鈺仁 The Implementation of Identification and Prediction of Music Rhythm by Microcontroller |
author_sort |
Yu-Ren Chen |
title |
The Implementation of Identification and Prediction of Music Rhythm by Microcontroller |
title_short |
The Implementation of Identification and Prediction of Music Rhythm by Microcontroller |
title_full |
The Implementation of Identification and Prediction of Music Rhythm by Microcontroller |
title_fullStr |
The Implementation of Identification and Prediction of Music Rhythm by Microcontroller |
title_full_unstemmed |
The Implementation of Identification and Prediction of Music Rhythm by Microcontroller |
title_sort |
implementation of identification and prediction of music rhythm by microcontroller |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/31247537698787529233 |
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