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Articulatory Representations to Address Acoustic Variability in Speech
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Articulatory Representations to Address Acoustic Variability in Speech. |
| 개인저자 | Sivaraman, Ganesh. |
| 단체저자명 | University of Maryland, College Park. Electrical Engineering. |
| 발행사항 | [S.l.]: University of Maryland, College Park., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 160 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-09B(E). Dissertation Abstract International |
| ISBN | 9780355912227 |
| 학위논문주기 | Thesis (Ph.D.)--University of Maryland, College Park, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B.
Adviser: Carol Y. Espy-Wilson. |
| 이용제한사항 | This item is not available from ProQuest Dissertations & Theses. |
| 요약 | The past decade has seen phenomenal improvement in the performance of Automatic Speech Recognition (ASR) systems. In spite of this vast improvement in performance, the state-of-the-art still lags significantly behind human speech recognition. Ev |
| 일반주제명 | Electrical engineering. Linguistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
