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undergraduate thesis: Long-term average spectral characteristics of different Cantonese opera singing styles

TitleLong-term average spectral characteristics of different Cantonese opera singing styles
Authors
Issue Date2010
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Abstract
Cantonese Opera is a valuable cultural heritage populates in China. Basic singing styles consist of zi hou, ping hou and da hou. However, objective parameters measuring voice qualities in Cantonese opera singing are lacking. The current study examined the sound quality associated with zi hou, ping hou and da hou singing styles in comparison to conversational voice by means of Long-Term Averaged Spectra (LTAS). Continuous singing and speech samples were obtained from professional Cantonese opera singers and na?ve speakers of Cantonese. All singing and speech samples were digitized at 44 kHz and 16 bits/ sample. Parameters including the first spectral peak (FSP), mean spectral energy (MSE), spectral tilt (ST) and high frequency energy (HFE) were derived from the LTAS contours by using Praat. Different singing styles exhibited different LTAS contours and were associated with significantly a higher ST value than conversational voice, implying a difference in resonance. Further investigation on the phonatory mechanism is indicated.
Description"A dissertation submitted in partial fulfillment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, June 30, 2010."
DegreeBachelor of Science in Speech and Hearing Sciences
SubjectVoice -- Physiological aspects.
Singing -- Physiological aspects.
Dept/ProgramSpeech and Hearing Sciences
Persistent Identifierhttp://hdl.handle.net/10722/173728

 

DC FieldValueLanguage
dc.contributor.authorWong, Saien_HK
dc.contributor.author黃璽zh_HK
dc.date.accessioned2012-11-01T01:14:11Z-
dc.date.available2012-11-01T01:14:11Z-
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10722/173728-
dc.description"A dissertation submitted in partial fulfillment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, June 30, 2010."en_US
dc.descriptionIncludes bibliographical references (p. 26-29).en_US
dc.descriptionThesis (B.Sc)--University of Hong Kong, 2010.en_US
dc.description.abstractCantonese Opera is a valuable cultural heritage populates in China. Basic singing styles consist of zi hou, ping hou and da hou. However, objective parameters measuring voice qualities in Cantonese opera singing are lacking. The current study examined the sound quality associated with zi hou, ping hou and da hou singing styles in comparison to conversational voice by means of Long-Term Averaged Spectra (LTAS). Continuous singing and speech samples were obtained from professional Cantonese opera singers and na?ve speakers of Cantonese. All singing and speech samples were digitized at 44 kHz and 16 bits/ sample. Parameters including the first spectral peak (FSP), mean spectral energy (MSE), spectral tilt (ST) and high frequency energy (HFE) were derived from the LTAS contours by using Praat. Different singing styles exhibited different LTAS contours and were associated with significantly a higher ST value than conversational voice, implying a difference in resonance. Further investigation on the phonatory mechanism is indicated.en_US
dc.languageengen_US
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong Licenseen_US
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.en_US
dc.subject.lcshVoice -- Physiological aspects.en_US
dc.subject.lcshSinging -- Physiological aspects.en_US
dc.titleLong-term average spectral characteristics of different Cantonese opera singing stylesen_HK
dc.typeUG_Thesisen_US
dc.identifier.hkulb4813230en_US
dc.description.thesisnameBachelor of Science in Speech and Hearing Sciencesen_US
dc.description.thesislevelbachelor'sen_US
dc.description.thesisdisciplineSpeech and Hearing Sciencesen_US
dc.description.naturepublished_or_final_versionen_US

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