Title :
New methods in structural segmentation of musical audio
Author :
Levy, Mark ; Sandler, Mark
Author_Institution :
Centre for Digital Music, Univ. of London, London, UK
Abstract :
We describe a simple model of musical structure and two related methods of extracting a high-level segmentation of a music track from the audio data, including a novel use of hidden semi-Markov models. We introduce a semi-supervised segmentation process which finds musical structure with improved accuracy given some very limited manual input. We give experimental results compared to existing methods and human segmentations.
Keywords :
audio signal processing; hidden Markov models; audio data; hidden semi-Markov models; high-level segmentation; human segmentations; music track; musical audio structural segmentation; semi-supervised segmentation; Abstracts;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
