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dc.contributor.authorNicola Orioen_US
dc.contributor.authorMatteo Sisti Setteen_US
dc.contributor.editorHolger H. Hoosen_US
dc.contributor.editorDavid Bainbridgeen_US
dc.date.accessioned2004-10-21T04:26:38Z
dc.date.available2004-10-21T04:26:38Z
dc.date.issued2003-10-26en_US
dc.identifier.isbn0-9746194-0-Xen_US
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/46
dc.description.abstractIn this paper we present an approach to the transcription of musical queries based on a HMM. The HMM is used to model the audio features related to the singing voice, and the transcription is obtained through Viterbi decoding. We report our preliminary work on evaluation of the system.en_US
dc.format.extent67016 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherJohns Hopkins Universityen_US
dc.subjectAudioen_US
dc.subjectGeneral Interesten_US
dc.titleA HMM-Based Pitch Tracker for Audio Queriesen_US
dc.typeArticleen_US


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