Audio Feature Extraction and Classification of the Chinese National Musical Instrument
HU Hefen · Computer and Digital Engineering · 2012
This paper address the problem of classifying database of Chinese national musical instrument audio.An efficient algorithm is proposed for selecting the most appropriate signal features for a given classification task.The method is based on MPEG-7 standards in acoustic feature on the time property of transformation,and join the improved values.The classifiers KNN,classifiers are compared for the task of database classifiacation.Especially compared with created classifier model performance not to join the new characteristic value and adding new features.The experimental results show that the F1 measure is obtained when the novel signal features are used.