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Intonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruence

Author(s): Wager, Sanna; Tzanetakis, George; Sullivan, Stefan; Wang, Cheng-i; Shimmin, John; et al

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dc.contributor.authorWager, Sanna-
dc.contributor.authorTzanetakis, George-
dc.contributor.authorSullivan, Stefan-
dc.contributor.authorWang, Cheng-i-
dc.contributor.authorShimmin, John-
dc.contributor.authorKim, Minje-
dc.contributor.authorCook, Perry-
dc.date.accessioned2021-10-08T19:46:04Z-
dc.date.available2021-10-08T19:46:04Z-
dc.date.issued2019en_US
dc.identifier.citationWager, Sanna, George Tzanetakis, Stefan Sullivan, Cheng-I. Wang, John Shimmin, Minje Kim, and Perry Cook. "Intonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruence." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019): pp. 476-480. doi: 10.1109/ICASSP.2019.8683554en_US
dc.identifier.issn1520-6149-
dc.identifier.urihttps://saige.sice.indiana.edu/wp-content/uploads/icassp2019_swager.pdf-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1f83g-
dc.description.abstractWe introduce the "Intonation" dataset of amateur vocal performances with a tendency for good intonation, collected from Smule, Inc. The dataset can be used for music information retrieval tasks such as autotuning, query by humming, and singing style analysis. It is available upon request on the Stanford CCRMA DAMP website. 1 We describe a semi-supervised approach to selecting the audio recordings from a larger collection of performances based on intonation patterns. The approach can be applied in other situations where a researcher needs to extract a subset of data samples from a large database. A comparison of the "Intonation" dataset and the remaining collection of performances shows that the two have different intonation behavior distributions.en_US
dc.format.extent476 - 480en_US
dc.language.isoen_USen_US
dc.relation.ispartofIEEE International Conference on Acoustics, Speech and Signal Processingen_US
dc.rightsAuthor's manuscripten_US
dc.titleIntonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruenceen_US
dc.typeConference Articleen_US
dc.identifier.doi10.1109/ICASSP.2019.8683554-
dc.identifier.eissn2379-190X-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/conference-proceedingen_US

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