Please use this identifier to cite or link to this item:
|Title:||Content-based music structure analysis with applications to music semantics understanding|
Content-based similarity region
Melody-based similarity region
|Source:||Maddage, N.C.,Xu, C.,Kankanhalli, M.S.,Shao, X. (2004). Content-based music structure analysis with applications to music semantics understanding. ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia : 112-119. ScholarBank@NUS Repository.|
|Abstract:||In this paper, we present a novel approach for music structure analysis. A new segmentation method, beat space segmentation, is proposed and used for music chord detection and vocal/instrumental boundary detection. The wrongly detected chords in the chord pattern sequence and the misclassified vocal/instrumental frames are corrected using heuristics derived from the domain knowledge of music composition. Melody-based similarity regions are detected by matching sub-chord patterns using dynamic programming. The vocal content of the melody-based similarity regions is further analyzed to detect the content-based similarity regions. Based on melody-based and content-based similarity regions, the music structure is identified. Experimental results are encouraging and indicate that the performance of the proposed approach is superior to that of the existing methods. We believe that music structure analysis can greatly help music semantics understanding which can aid music transcription, summarization, retrieval and streaming.|
|Source Title:||ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 16, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.