Document Type

Conference Paper


This item is available under a Creative Commons License for non-commercial use only

Publication Details

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '07), Honolulu, Hawaii, 2007


A novel technique for detecting single and multi-note ornaments is presented. The system detects audio segments by utilising and onset detector based on comb filters (ODCF), which is capable of detecting very close events. In addition, a novel method to remove spurious onsets due to offset events is introduced. The system utilises musical ornamentation theory to decide whether a sequence of audio segments correspond to an ornamentation musical structure. In order to evaluate the results, a database of signals produced by different players using the three different instruments has been utilised. The results represent a step forward towards fully automating ornamentation transcription