Chinese folk musical instruments recognition in polyphonic music

This paper presents a study on automatic recognition of Chinese folk musical instruments, two methods are used to mainly deal with the task of dominant instrument identification in music of accompanied concertos, respectively song-level method and segment-level one; when dealing with 14 instruments of 4 Chinese folk instrument families, the accuracy of two methods are 85% and 89% respectively. Furthermore, the latter method is adapted to deal with another more difficult task of instruments identification in Chinese ensemble music, which asking to recognise as many instruments as possible. In addition, the effects of different music features are compared when used to do the identification, finding only MFCC feature which used commonly in speech processing is not enough and other features must be added to enhance the recognition.