Title :
Extraction and evaluation model for the basic characteristics of MIDI file music
Author :
Zhao Wei ; Li Xiaoli ; Li Yang
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fDate :
May 31 2014-June 2 2014
Abstract :
The audio track of music melody includes a lot of useful information of music melody, which is the basic of music character recognition and also the premise work in the design of the performance plan of music foundation. Five eigenvectors : pitch, length, tone tempo and strength are extracted for the expression of music melody, by which, the basic music character recognition system can be set up. A emotion model is formed by using BP neural network.200 songs with different emotional characteristic songs will be used as the sample data for the training and validation of the neural network. The results of validation shows the effectiveness of the emotion model.
Keywords :
backpropagation; eigenvalues and eigenfunctions; music; neural nets; BP neural network; audio track; basic MIDI file music characteristics; eigenvectors; emotion model; emotional characteristic songs; music character recognition system; music foundation; music melody; tone tempo; Educational institutions; Emotion recognition; Feature extraction; Hidden Markov models; Music; Neural networks; Training; BP neural network; Basic Character of Music; The main track recognition;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852510
