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dc.contributor.authorFonseca, Nuno
dc.contributor.authorFerreira, Aníbal
dc.date.accessioned2009-08-03T06:22:46Z
dc.date.available2009-08-03T06:22:46Z
dc.date.issued2009
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/20865
dc.description.abstractAlthough much work is being done in music transcription research, the evaluation of these techniques is less addressed by the research community. The lack of widely accepted metrics and databases presents an obstacle to the assessment of existing music transcription approaches. This paper presents an analysis of existing metrics and proposes a new method for measuring the results of music transcription. Based on the idea that decay and sustained music instruments may have different requirements, a dual process is implemented. On the decay process, a note oriented approach is used, considering pitches and onsets, generating a score for each note. On the sustain process, a time oriented approach is used, measuring the overlap of original and transcribed notes. The final score is produced based on the values obtained in both processes. To evaluate the proposed approach, several music transcription metrics were compared with human tests results. The obtained results show that the proposed method achieves the best correlation with human perception results. Based on the idea that not all transcription errors have the same impact, an effort was made to achieve a metric that is more realistic from the human perception point-of-view.en
dc.format.extent119-124
dc.language.isoeng
dc.subject.otherMetricsen
dc.subject.otherMusic transcriptionen
dc.subject.otherdecay/sustainen
dc.titleMeasuring music transcription results based on a hybrid decay/sustain evaluationen
dc.typeArticleen
dc.identifier.urnURN:NBN:fi:jyu-2009411248
dc.type.dcmitypeText
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceESCOM 2009 : 7th Triennial Conference of European Society for the Cognitive Sciences of Music


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  • ESCOM 2009 [101]
    7th Triennial Conference of European Society for the Cognitive Sciences of Music

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