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A Model-Based Mathematical Approach:...

Wang, Ling.

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A Model-Based Mathematical Approach: The Use of Entropy-Based Quantities to Characterize Phone Variation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Model-Based Mathematical Approach: The Use of Entropy-Based Quantities to Characterize Phone Variation./
作者:	Wang, Ling.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	118 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-10, Section: A.
Contained By:	Dissertations Abstracts International80-10A.
標題:	Linguistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13424462
ISBN:	9781392062784

A Model-Based Mathematical Approach: The Use of Entropy-Based Quantities to Characterize Phone Variation.
Wang, Ling.

A Model-Based Mathematical Approach: The Use of Entropy-Based Quantities to Characterize Phone Variation. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 118 p.

Source: Dissertations Abstracts International, Volume: 80-10, Section: A.

Thesis (Ph.D.)--State University of New York at Stony Brook, 2018.

This item must not be added to any third party search indexes.

This dissertation presents a model-based mathematical approach to using entropy-based quantities in the framework of Information Theory, i.e., Kullback-Leibler (KL) divergence, cross entropy (CE), and distance to separating hypersurface (DSH), to characterize and understand phonetic variation. The specific focus of this work is L2 learners' capability of acquiring non-contrastive phonetic nuances of a second language, in particular, coarticulatory relations between adjacent phones. TIMIT Acoustic-Phonetic Continuous Speech Corpus was used to test model building techniques and methods of calculating entropy-based measures. KL divergence and CE produce consistently similar results in that more similar sounds correlate to smaller KL divergence and CE, while DSH needs to be fine-tuned to distinguish sounds that are highly similar. The specific focus of this work is L2 learners' capability of acquiring non-contrastive phonetic nuances of a second language; in particular, coarticulatory relations between adjacent phones. The model building and entropy measures were applied to two corpora that included Mandarin-accented English - the Wildcat Corpus of Native- and Foreign-Accented English and CSLU: Foreign Accented English Release 1.2. Examination of coarticulatory effects between fricative [Special Character Omitted] and following vowels, and between vowels and adjacent nasal consonants indicate that Mandarin speakers' ability to produce fine phonetic details appropriate for English is constrained by speech styles and proficiency. Mandarin speakers with higher proficiency of English are found to produce a nasal coarticulatory pattern slightly more similar to English speakers than those with lower proficiency. Mandarin speakers produce patterns of coarticulation across three speech styles comparable in nature to English speakers, but the magnitude of the coarticulatory effects are smaller in Mandarin-accented English than in native spoken English with the biggest difference appearing in the spontaneous continuous speech. This work demonstrates that mathematical modeling provides additional tools for analyzing phonetic variation which can be both subtle and variable in the speech of second language learners.

ISBN: 9781392062784Subjects--Topical Terms:

524476
Linguistics.
Subjects--Index Terms:

Information Theory

A Model-Based Mathematical Approach: The Use of Entropy-Based Quantities to Characterize Phone Variation.
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520 $a This dissertation presents a model-based mathematical approach to using entropy-based quantities in the framework of Information Theory, i.e., Kullback-Leibler (KL) divergence, cross entropy (CE), and distance to separating hypersurface (DSH), to characterize and understand phonetic variation. The specific focus of this work is L2 learners' capability of acquiring non-contrastive phonetic nuances of a second language, in particular, coarticulatory relations between adjacent phones. TIMIT Acoustic-Phonetic Continuous Speech Corpus was used to test model building techniques and methods of calculating entropy-based measures. KL divergence and CE produce consistently similar results in that more similar sounds correlate to smaller KL divergence and CE, while DSH needs to be fine-tuned to distinguish sounds that are highly similar. The specific focus of this work is L2 learners' capability of acquiring non-contrastive phonetic nuances of a second language; in particular, coarticulatory relations between adjacent phones. The model building and entropy measures were applied to two corpora that included Mandarin-accented English - the Wildcat Corpus of Native- and Foreign-Accented English and CSLU: Foreign Accented English Release 1.2. Examination of coarticulatory effects between fricative [Special Character Omitted] and following vowels, and between vowels and adjacent nasal consonants indicate that Mandarin speakers' ability to produce fine phonetic details appropriate for English is constrained by speech styles and proficiency. Mandarin speakers with higher proficiency of English are found to produce a nasal coarticulatory pattern slightly more similar to English speakers than those with lower proficiency. Mandarin speakers produce patterns of coarticulation across three speech styles comparable in nature to English speakers, but the magnitude of the coarticulatory effects are smaller in Mandarin-accented English than in native spoken English with the biggest difference appearing in the spontaneous continuous speech. This work demonstrates that mathematical modeling provides additional tools for analyzing phonetic variation which can be both subtle and variable in the speech of second language learners.
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