| LDR |  | 00000nmm u2200205   4500 | 
| 001 |  | 000000331839 | 
| 005 |  | 20241120153131 | 
| 008 |  | 181129s2018    |||    |   | |      eng d | 
| 020 |    | 
    ▼a 9780438175389 | 
| 035 |    | 
    ▼a (MiAaPQ)AAI10827202 | 
| 035 |    | 
    ▼a (MiAaPQ)washington:18639 | 
| 040 |    | 
    ▼a MiAaPQ
    ▼c MiAaPQ
    ▼d 248032 | 
| 049 | 1  | 
    ▼f DP | 
| 082 | 0  | 
    ▼a 401 | 
| 100 | 1  | 
    ▼a Panfili, Laura Maggia. | 
| 245 | 10 | 
    ▼a Cross-Linguistic Acoustic Characteristics of Phonation: A Machine Learning Approach. | 
| 260 |    | 
    ▼a [S.l.] :
    ▼b University of Washington.,
    ▼c 2018 | 
| 260 |  1 | 
    ▼a Ann Arbor :
    ▼b ProQuest Dissertations & Theses,
    ▼c 2018 | 
| 300 |    | 
    ▼a 360 p. | 
| 500 |    | 
    ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A. | 
| 500 |    | 
    ▼a Adviser: Richard Wright. | 
| 502 | 1  | 
    ▼a Thesis (Ph.D.)--University of Washington, 2018. | 
| 520 |    | 
    ▼a Phonation, the process of producing a quasi-periodic sound wave through vocal fold vibration, plays different roles in different languages. Phonation types, or voice qualities, are produced by adjusting the length, thickness, and separation of t | 
| 520 |    | 
    ▼a This study examines phonation in six languages from four families: English, Gujarati, Hmong, Mandarin, Mazatec, and Zapotec. These languages use phonation in a variety of ways, including contrastively, alongside tones, sociolinguistically, allop | 
| 520 |    | 
    ▼a Machine learning was also used to fine tune a classifier for English phonation types. Unlike other voice quality classifiers, this study focuses on just English and on the three-way breathy vs. modal vs. creaky contrast, rather than on a binary | 
| 520 |    | 
    ▼a This dissertation demonstrates that machine learning is a powerful tool for the study of phonation. It illuminates some of the previously unexamined similarities and differences between phonation types in different languages, and introduces a ne | 
| 590 |    | 
    ▼a School code: 0250. | 
| 650 |  4 | 
    ▼a Linguistics. | 
| 650 |  4 | 
    ▼a Artificial intelligence. | 
| 690 |    | 
    ▼a 0290 | 
| 690 |    | 
    ▼a 0800 | 
| 710 | 20 | 
    ▼a University of Washington.
    ▼b Linguistics. | 
| 773 | 0  | 
    ▼t Dissertation Abstracts International
    ▼g 79-12A(E). | 
| 773 |    | 
    ▼t Dissertation Abstract International | 
| 790 |    | 
    ▼a 0250 | 
| 791 |    | 
    ▼a Ph.D. | 
| 792 |    | 
    ▼a 2018 | 
| 793 |    | 
    ▼a English | 
| 856 | 40 | 
    ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998997
    ▼n KERIS | 
| 980 |    | 
    ▼a 201812
    ▼f 2019 | 
| 990 |    | 
    ▼a 관리자
    ▼b 관리자 |