| LDR | | 01763nam u200409 4500 |
| 001 | | 000000418217 |
| 005 | | 20190215162659 |
| 008 | | 181129s2017 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780355912227 |
| 035 | |
▼a (MiAaPQ)AAI10641764 |
| 035 | |
▼a (MiAaPQ)umd:18609 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Sivaraman, Ganesh.
▼0 (orcid)0000-0002-5705-4443. |
| 245 | 10 |
▼a Articulatory Representations to Address Acoustic Variability in Speech. |
| 260 | |
▼a [S.l.]:
▼b University of Maryland, College Park.,
▼c 2017. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2017. |
| 300 | |
▼a 160 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-09(E), Section: B. |
| 500 | |
▼a Adviser: Carol Y. Espy-Wilson. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Maryland, College Park, 2017. |
| 506 | |
▼a This item is not available from ProQuest Dissertations & Theses. |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0117. |
| 650 | 4 |
▼a Electrical engineering. |
| 650 | 4 |
▼a Linguistics. |
| 690 | |
▼a 0544 |
| 690 | |
▼a 0290 |
| 710 | 20 |
▼a University of Maryland, College Park.
▼b Electrical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-09B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0117 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2017 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996705
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |