Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2005.1415685
DC FieldValue
dc.titleMusic transcription using an instrument model
dc.contributor.authorYin, J.
dc.contributor.authorSim, T.
dc.contributor.authorWang, Y.
dc.contributor.authorShenoy, A.
dc.date.accessioned2013-07-04T08:30:27Z
dc.date.available2013-07-04T08:30:27Z
dc.date.issued2005
dc.identifier.citationYin, J.,Sim, T.,Wang, Y.,Shenoy, A. (2005). Music transcription using an instrument model. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings III : III217-III220. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICASSP.2005.1415685" target="_blank">https://doi.org/10.1109/ICASSP.2005.1415685</a>
dc.identifier.isbn0780388747
dc.identifier.issn15206149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41563
dc.description.abstractWe introduce a method to transcribe music with the help of an instrument model. One of the most important and difficult problems in music transcription is polyphonic pitch estimation. Common pitch estimation algorithms reported in the literature tend to have errors in the following three situations: missing fundamental, missing harmonics, and shared frequencies. We believe an instrument model can make pitch estimation more robust in these three situations and thus can help to improve music transcription accuracy. We devise a spectrum subtraction algorithm to transcribe single and multiple instrument polyphonic music. ©2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICASSP.2005.1415685
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICASSP.2005.1415685
dc.description.sourcetitleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.description.volumeIII
dc.description.pageIII217-III220
dc.description.codenIPROD
dc.identifier.isiutNOT_IN_WOS
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