Automating Ornamentation Transcription

A novel technique for detecting single and multi-note ornaments is presented. The system detects audio segments by utilising an 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.

• Type: Conference
• Year: 2007
• Where: ICASSP
• Authors: Mikel Gainza, Eugene Coyle
• Keywords: Audio Segments, ICASSP 2007, Musical Ornamentation Theory, Ornamentation, Signal Processing