undergraduate thesis: Vocal characteristics of English and Mandarin produced by Mandarin-English and English-Mandarin bilingual speakers : a long-term average spectral analysis

TitleVocal characteristics of English and Mandarin produced by Mandarin-English and English-Mandarin bilingual speakers : a long-term average spectral analysis
Authors
Issue Date2012
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Chong, Y. [莊旖瀅]. (2012). Vocal characteristics of English and Mandarin produced by Mandarin-English and English-Mandarin bilingual speakers : a long-term average spectral analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractThe present study aims to examine the possible acoustical differences between languages (English and Mandarin) and ethnicities (Chinese and American). Sixteen Chinese (8 males and 8 females) and fourteen American bilingual adults were recruited (8 males and 6 females) and instructed to read one Mandarin and one English passage. Fundamental frequency (F0), jitter, shimmer, and parameters extracted from long-term average spectral analysis, including first spectral peak (FSP), mean spectral energy (MSE), and spectral tilt (ST) were measured from the speech samples using Praat. Results indicated acoustical differences between English and Mandarin, and between Chinese and American speakers. However, the language effect and race effect on voice quality interacted with each other. The findings imply that both race/ethnicity and language used by speakers should be considered when comparing to the normative data in voice therapy.
DegreeBachelor of Science in Speech and Hearing Sciences
SubjectMandarin dialects - Phonetics
English language - Phonetics
Bilingualism
Dept/ProgramSpeech and Hearing Sciences
Persistent Identifierhttp://hdl.handle.net/10722/237898
HKU Library Item IDb5805898

 

DC FieldValueLanguage
dc.contributor.authorChong, Yee-ying-
dc.contributor.author莊旖瀅-
dc.date.accessioned2017-01-26T04:56:42Z-
dc.date.available2017-01-26T04:56:42Z-
dc.date.issued2012-
dc.identifier.citationChong, Y. [莊旖瀅]. (2012). Vocal characteristics of English and Mandarin produced by Mandarin-English and English-Mandarin bilingual speakers : a long-term average spectral analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/237898-
dc.description.abstractThe present study aims to examine the possible acoustical differences between languages (English and Mandarin) and ethnicities (Chinese and American). Sixteen Chinese (8 males and 8 females) and fourteen American bilingual adults were recruited (8 males and 6 females) and instructed to read one Mandarin and one English passage. Fundamental frequency (F0), jitter, shimmer, and parameters extracted from long-term average spectral analysis, including first spectral peak (FSP), mean spectral energy (MSE), and spectral tilt (ST) were measured from the speech samples using Praat. Results indicated acoustical differences between English and Mandarin, and between Chinese and American speakers. However, the language effect and race effect on voice quality interacted with each other. The findings imply that both race/ethnicity and language used by speakers should be considered when comparing to the normative data in voice therapy.-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshMandarin dialects - Phonetics-
dc.subject.lcshEnglish language - Phonetics-
dc.subject.lcshBilingualism-
dc.titleVocal characteristics of English and Mandarin produced by Mandarin-English and English-Mandarin bilingual speakers : a long-term average spectral analysis-
dc.typeUG_Thesis-
dc.identifier.hkulb5805898-
dc.description.thesisnameBachelor of Science in Speech and Hearing Sciences-
dc.description.thesislevelBachelor-
dc.description.thesisdisciplineSpeech and Hearing Sciences-
dc.description.naturepublished_or_final_version-
dc.identifier.mmsid991020902379703414-

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