Musical Instrument Recognition

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dc.contributor.authorRinggenberg, Kyle
dc.contributor.authorWu, Yi-Chieh
dc.contributor.authorKruse, Patrick
dc.date.accessioned2022-05-03T14:32:48Z
dc.date.available2022-05-03T14:32:48Z
dc.date.issued2005-12-14
dc.description.abstractTo detect the pitch and instrument of a monophonic signal. To decompose polyphonic signals into their component pitches and instruments by analyzing the waveform and spectra of each instrument. Elec 301 Project Fall 2005.
dc.description.noteThis work was created using the Connexions authoring platform. This platform will be retired as of the end of 2021.  This work has been migrated to PDF format for continuous access to the educational content, however any embedded links within the text to the legacy platform may no longer be accessible.
dc.digitization.specificationsContent was converted from legacy website (HTML) to accessible (tagged and OCRd) PDF format.
dc.format.extent30 pp
dc.identifier.citationRinggenberg, Kyle, Wu, Yi-Chieh and Kruse, Patrick. "Musical Instrument Recognition." (2005) Rice University: <a href="https://hdl.handle.net/1911/112240">https://hdl.handle.net/1911/112240</a>.
dc.identifier.digitalcol10313-FINAL
dc.identifier.urihttps://hdl.handle.net/1911/112240
dc.language.isoeng
dc.publisherRice University
dc.rightsThis work is licensed under a Creative Commons Attribution License (BY 2.0)
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/
dc.subjectScience and Technology
dc.subject.keywordDetection
dc.subject.keywordInstruments
dc.subject.keywordMusic
dc.subject.keywordPolyphonic
dc.titleMusical Instrument Recognition
dc.type.dcmiText
dc.type.genreInstructional and educational works
dcterms.accessRightsfreely accessible, openly licensed text
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