Please use this identifier to cite or link to this item: https://doi.org/10.1109/APSIPA.2013.6694316
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dc.titleThe NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech
dc.contributor.authorDuan, Z.
dc.contributor.authorFang, H.
dc.contributor.authorLi, B.
dc.contributor.authorSim, K.C.
dc.contributor.authorWang, Y.
dc.date.accessioned2014-07-04T03:15:43Z
dc.date.available2014-07-04T03:15:43Z
dc.date.issued2013
dc.identifier.citationDuan, Z.,Fang, H.,Li, B.,Sim, K.C.,Wang, Y. (2013). The NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech. 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/APSIPA.2013.6694316" target="_blank">https://doi.org/10.1109/APSIPA.2013.6694316</a>
dc.identifier.isbn9789869000604
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/78388
dc.description.abstractDespite a long-standing effort to characterize various aspects of the singing voice and their relations to speech, the lack of a suitable and publicly available dataset has precluded any systematic study on the quantitative difference between singing and speech at the phone level. We hereby present the NUS Sung and Spoken Lyrics Corpus (NUS-48E corpus) as the first step toward a large, phonetically annotated corpus for singing voice research. The corpus is a 169-min collection of audio recordings of the sung and spoken lyrics of 48 (20 unique) English songs by 12 subjects and a complete set of transcriptions and duration annotations at the phone level for all recordings of sung lyrics, comprising 25,474 phone instances. Using the NUS-48E corpus, we conducted a preliminary, quantitative study on the comparison between singing voice and speech. The study includes duration analyses of the sung and spoken lyrics, with a primary focus on the behavior of consonants, and experiments aiming to gauge how acoustic representations of spoken and sung phonemes differ, as well as how duration and pitch variations may affect the Mel Frequency Cepstral Coefficients (MFCC) features. © 2013 APSIPA.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/APSIPA.2013.6694316
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/APSIPA.2013.6694316
dc.description.sourcetitle2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
dc.description.page-
dc.identifier.isiutNOT_IN_WOS
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