Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2006.262644
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dc.titleA violin music transcriber for personalized learning
dc.contributor.authorBoo, W.J.J.
dc.contributor.authorWang, Y.
dc.contributor.authorLoscos, A.
dc.date.accessioned2013-07-04T08:26:20Z
dc.date.available2013-07-04T08:26:20Z
dc.date.issued2006
dc.identifier.citationBoo, W.J.J.,Wang, Y.,Loscos, A. (2006). A violin music transcriber for personalized learning. 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings 2006 : 2081-2084. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICME.2006.262644" target="_blank">https://doi.org/10.1109/ICME.2006.262644</a>
dc.identifier.isbn1424403677
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41387
dc.description.abstractThis paper presents a new version of our violin music transcriber [1] to support personalized learning. The proposed method is designed to detect duo-pitch (two strings being bowed at the same time) from real-world violin audio signals recorded in a home environment. Our method uses a semitone band spectrogram, a signal spectral representation with direct musical relevance. We exploit constraints of violin sound to improve the transcription performance and speed in comparison with existing methods. We have carried out rigorous evaluations using (a) single pitch notes and duo-phonic pitch samples within the violin's playing range (G3-B6), and (b) music excerpts. For pitch and duo-pitch samples our method can achieve a transcription precision score of 93.1% and recall score of 96.7% respectively. For music excerpts, an average of 95% of all notes could be found (recall), and 93% of notes transcribed correctly (precision). © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICME.2006.262644
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICME.2006.262644
dc.description.sourcetitle2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
dc.description.volume2006
dc.description.page2081-2084
dc.identifier.isiutNOT_IN_WOS
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