Browse

조음 기반의 음소 레벨 사후 확률을 이용한 한국인 영어 학습자의 자음 발음 오류 검출

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors
Ryu, Hyuksu; Chung, Minhwa
Issue Date
2016-11-18
Publisher
한국음성학회
Citation
2016년 한국음성학회 가을 학술대회 발표 논문집, pp. 85-86
Keywords
조음 기반의 음소 레벨 사후 확률을 이용한 한국인 영어 학습자의 자음 발음 오류 검출복합학
Abstract
This paper proposes novel features for automatic pronunciation error detection of English consonants produced by Korean learners by using articulatory Goodness-Of-Pronunciation(aGOP). For calculating aGOP, articulatory acoustic models are trained for the corresponding articulatory attributes, such as nasal, sonorant, anterior, etc. For error detection modeling, we utilize 2,500 English sentences spoken by Korean learners. By comparing canonical and actual pronunciations, we select six consonant phonemes(/z, ð, θ, t, v, d/) which show high pronunciation error rate from 9.3% to 27.2%. Error detection modeling is performed in terms of each phoneme. As a baseline, the traditional GOP is applied for the modeling. In order to enhance the baseline performance, we append the proposed aGOPs as novel features. The results show that the proposed model outperforms the baseline for all consonant phonemes. It is noteworthy that integrating linguistic/phonetic knowledge is useful for automatic pronunciation error detection.
ISSN
2005-9299
Language
Korean
URI
http://hdl.handle.net/10371/117486
Files in This Item:
Appears in Collections:
College of Humanities (인문대학)Linguistics (언어학과)Journal Papers (저널논문_언어학과)
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse