undergraduate thesis: Acoustic cues to perceived age in Cantonese-speaking population : acoustic analysis and direct age estimation study

TitleAcoustic cues to perceived age in Cantonese-speaking population : acoustic analysis and direct age estimation study
Authors
Issue Date2017
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Ma, T. J. [馬子晴]. (2017). Acoustic cues to perceived age in Cantonese-speaking population : acoustic analysis and direct age estimation study. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractThis study investigated the age-related changes in acoustic voice quality of Cantonese-speaking females and whether the presence of both contour and level tones improved the reliability of age estimation as compared to the presence of only level tone. Thirty female speakers ranging from young to old age were recruited to read aloud six Cantonese sentence stimuli and were recorded. The stimuli were designed in pairs to contain either only level tones or mixed tones (both level and contour tones). Speaking rate was also controlled. The recordings then underwent acoustic analysis. Another 34 listeners (18 females and 16 males) were recruited to participate in a direct age estimation study of the recordings. Acoustic parameters including fundamental frequency, jitter, shimmer, and harmonics-to-noise ratio were reported. They were found to be generally comparable to previous literature about English-speaking population. Mixed tone stimuli which contained both contour and level tones were found to yield more accurate age estimation than level tone stimuli.
DegreeBachelor of Science in Speech and Hearing Sciences
SubjectVoice
Dept/ProgramSpeech and Hearing Sciences
Persistent Identifierhttp://hdl.handle.net/10722/272652

 

DC FieldValueLanguage
dc.contributor.authorMa, Tsz-ching, Joey-
dc.contributor.author馬子晴-
dc.date.accessioned2019-08-01T13:51:55Z-
dc.date.available2019-08-01T13:51:55Z-
dc.date.issued2017-
dc.identifier.citationMa, T. J. [馬子晴]. (2017). Acoustic cues to perceived age in Cantonese-speaking population : acoustic analysis and direct age estimation study. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/272652-
dc.description.abstractThis study investigated the age-related changes in acoustic voice quality of Cantonese-speaking females and whether the presence of both contour and level tones improved the reliability of age estimation as compared to the presence of only level tone. Thirty female speakers ranging from young to old age were recruited to read aloud six Cantonese sentence stimuli and were recorded. The stimuli were designed in pairs to contain either only level tones or mixed tones (both level and contour tones). Speaking rate was also controlled. The recordings then underwent acoustic analysis. Another 34 listeners (18 females and 16 males) were recruited to participate in a direct age estimation study of the recordings. Acoustic parameters including fundamental frequency, jitter, shimmer, and harmonics-to-noise ratio were reported. They were found to be generally comparable to previous literature about English-speaking population. Mixed tone stimuli which contained both contour and level tones were found to yield more accurate age estimation than level tone stimuli. -
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.lcshVoice-
dc.titleAcoustic cues to perceived age in Cantonese-speaking population : acoustic analysis and direct age estimation study-
dc.typeUG_Thesis-
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.date.hkucongregation2017-
dc.identifier.mmsid991044112079003414-

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