• 한국어교육
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• 제29권3호
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• pp.255-292
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• 2018

Most grading scales of Korean language proficiency tests are based on existing grading scales that are not empirically verified. The purpose of this study is to develop an empirically verified scale descriptor. The 'Performance data-driven approach' that is suggested by Fulcher (1987) was used to develop the detailed description of characteristics for each level of performance. This study is focused on the functional phase of speech samples analysis (coding data) to create explanatory categories of discourse skills into which individual observations of speech phenomena can be scored. The speech samples that were collected through this study demonstrated stages of speech that can be a foundation of a grading scale. The data used in the study was collected from 23 native speakers of Korean. Speech samples were recorded from simulated speaking tests using the 'REFUSAL' task, and transcribed for analysis. The transcript was analyzed using discourse analysis. The result showed that the 'REFUSAL' task needs to go through four functional phases in actual communication. Furthermore, this study found specific and detailed explanatory categories of discourse competence based on the actual native speaker's speech data. Such findings are expected to contribute to the development of more valid and reliable speaking assessment.

• 대한음성학회지:말소리
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• 제68권
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• pp.49-63
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• 2008

This paper describes the development and assessment of a hidden Markov model (HMM) based Tagalog speech synthesis system, where Tagalog is the most widely spoken indigenous language of the Philippines. Several aspects of the design process are discussed here. In order to build the synthesizer a speech database is recorded and phonetically segmented. The constructed speech corpus contains approximately 89 minutes of Tagalog speech organized in 596 spoken utterances. Furthermore, contextual information is determined. The quality of the synthesized speech is assessed by subjective tests employing 25 native Tagalog speakers as respondents. Experimental results show that the new system is able to obtain a 3.29 MOS which indicates that the developed system is able to produce highly intelligible neutral Tagalog speech with stable quality even when a small amount of speech data is used for HMM training.

• 대한전기학회논문지
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• 제41권2호
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• pp.209-216
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• 1992

Deafs train articulation by observing mouth of a tutor, sensing tactually the motions of the vocal organs, or using speech training aids. Present speech training aids for deafs can measure only single speech parameter, or display only frequency spectra in histogram of pseudo-color. In this study, a speech training aids that can display subject's articulation in the form of a cross section of the vocal organs and other speech parameters together in a single system is to be developed and this system makes a subject know where to correct. For our objective, first, speech production mechanism is assumed to be AR model in order to estimate articulatory motions of the vocal organs from speech signal. Next, a vocal tract profile model using LP analysis is made up. And using this model, articulatory motions for Korean vowels are estimated and displayed in the vocal tract profile graphics.

• 음성과학
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• 제15권2호
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• pp.33-51
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• 2008

Difference of learner speech and loanword phonology is investigated in terms of Korean learners' speech and their loanword adaptation of English words with a post-vocalic word-final stop. When we compared the speech of 12 Korean learners in mid-intermediate level with that of eight English speakers, the learner speech did not reflect loanword phonology of the vowel insertion after a voiced word-final stop (e.g., rib$[\dotplus]$, bad$[\dotplus]$, gag$[\dotplus]$ vs. tip[=], cat[=], book[=]), but, instead, the target phonology of vowel lengthening before a voiced word-final stop (e.g., rib[r.I:b], CAD$[k{\ae}:d]$, bag$[b{\ae}:g]$ vs. rip[rI.p], cat$[k{\ae}t]$, back$[b{\ae}k])$. A longitudinal study of learner speech before and after instruction showed some development toward the acquisition of target phonology. The results indicate that learner speech departs from loanword phonology, and approaches to target speech in a faster rate than direct ratio. Thus, native phonology predicts loanword phonology, but lends little support to learner speech. Our results also indicate that loanword phonology is constant, while learner speech changes toward the acquisition of target phonology.

• 말소리와 음성과학
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• 제7권3호
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• pp.165-173
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• 2015

This study was aim to compare the phonological error patterns and PCC(Percentage of Correct Consonants) derived from the single word and spontaneous speech contexts of the speech sound disorders with unknown origin(SSD). The present study suggest that the development phonological error patterns and non-developmental error patterns of the target children, in according to speech context. The subjects were 15 children with SSD up to the age of 5 from 3 years of age. This research use 37 words of APAC(Assessment of Phonology & Articulation for Children) in the single word context and 100 eojeol in the spontaneous speech context. There was no difference of PCC between the single word and the spontaneous speech contexts. Significantly different developmental phonological error patterns between the single word and the spontaneous speech contexts were syllable deletion, word-medial onset deletion, liquid deletion, gliding, affrication, fricative other error, tensing, regressive assimilation. Significantly different non-developmental phonological error patterns were backing, addtion of phoneme, aspirating. The study showed that there was no difference of PCC between elicited single word and spontaneous conversational context. And there were some different phonological error patterns derived from the two contexts of the speech sound disorders. The more important interventions target is the error patterns of the spontaneous speech contexts for the immediate generalization and rising overall intelligibility.

• 정보과학회 논문지
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• 제42권11호
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• pp.1372-1379
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• 2015

본 논문에서는 구개열 환자의 장애 발음과 정상인의 발음을 자동으로 구분하여 판별하는데 사용될 수 있는 특징 추출 방법들의 성능을 분석하는 실험에 대하여 소개한다. 이 연구는 발성 장애인의 복지 향상을 추구하며 수행하고 있는 장애 음성 자동 인식 및 복원 소프트웨어 시스템 개발의 기초과정이다. 실험에 사용된 음성 데이터는 정상인의 발음, 구개열 환자의 발음, 그리고 모의 환자의 발음의 세 그룹으로부터 수집된 한국어 단음절로서 14개의 기본 자음과 5개의 복합 자음, 7개 모음이다. 발음의 특징 추출은 LPCC, MFCC, PLP의 세 가지 방법으로 각각 수행하였고, GMM 음향 모델로 인식 훈련을 한 후, 수집된 단음절 데이터를 대상으로 하여 인식 실험을 실시하였다. 실험 결과, 정상인과 구개열 환자의 장애 발음을 구별하기 위하여 특징을 추출함에 있어서 MFCC 방법이 전반적으로 가장 우수하였다. 본 연구의 결과는 구개열 환자의 부정확한 발음을 자동으로 인식하고 복원하는 연구와 구개열 장애 발음의 정도를 측정할 수 있는 도구에 대한 연구에 도움이 될 것으로 기대된다.

• 말소리와 음성과학
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• 제13권2호
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• pp.67-76
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• 2021

난타는 북과 같은 타악기를 이용한 "두드리기"라는 뜻으로 한국 전통 음악인 사물놀이의 리듬이다. 말소리 산출이 제한된 아이들을 위해 난타 프로그램이 개발되어 적용되었다. 또한, 이 연구는 언어 리듬을 이용한 난타 프로그램의 효과에 대한 증거를 제공한다. 난타 음성 리듬 중재 프로그램은 말리듬을 이용하여 개발되었다. 난타 프로그램은 청각 자극, 다양한 소리와 박자, 리듬을 제공했으며, 리듬과 함께 호흡, 발성, 조음의 세 단계로 구성되어 있다. 말소리 목록이 제한된 6명의 아이들이 이 연구에 참여했다. 아동들에게 소리와 박자를 탐색하고 소리와 박자를 자유롭게 표현하도록 하였다. 또한, 리듬과 함께 단어를 모방하고 모방하는 단어에서 음절의 길이를 늘림으로써 다양한 말소리를 산출하도록 격려하였다. 매 회당 40분 동안 주 2회씩 총 15회의 세션이 실시되었다. 중재 효과를 조사하기 위해 치료 전후 취학전 아동의 수용언어 및 표현언어 발달척도(PRES)와 수용-표현 어휘력 검사(REVT) 점수를 비교하였다. Wilcoxon rank test 결과, 중재 후 PRES에서 수용언어 점수(p=.027)와 표현언어 점수(p=.024) 및 수용어휘력(p=.028)과 표현어휘력 (p=.028) 점수가 유의하게 향상되었음을 보여주었다. 난타 리듬 컨트롤 프로그램은 수용적이고 표현적인 어휘와 언어 발달에 상당한 긍정적인 영향을 미쳤다. 이러한 발견들은 리듬 컨트롤 프로그램이 제한된 음성 소리 생성을 가진 어린이들의 언어 발달과 어휘 향상에 유용할 수 있다는 것을 암시한다.

• 대한음성학회지:말소리
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• 제51호
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• pp.137-149
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• 2004

A weather forecast service with speech recognition is described. This service allows users to get the weather information of all the cities by saying the city names with just one phone call, which was not provided in the previous weather forecast service. Speech recognition is implemented in the intelligent peripheral (IP) of the advanced intelligent network (AIN). The AIN is a telephone network architecture that separates service logic from switching equipment, allowing new services to be added without having to redesign switches to support new services. Experiments in speech recognition show that the recognition accuracy is 90.06% for the general users' speech database. For the laboratory members' speech database, the accuracies are 95.04% and 93.81%, respectively in simulation and in the test on the developed system.

• 대한음성학회지:말소리
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• 제46호
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• pp.175-185
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• 2003

To support speech information technology industry it is vital to create and distribute standardized speech corpora to be used for the development of products and technologies. In this article we introduce speech corpora created by Speech Information Technology & Industry Promotion Center(SiTEC) during its 1st and 2nd fiscal years (2001/5/1-2003/4/30) and plans for those corpora which is being created currently or will be created in near future. We introduce the corpus for car application to expand speech information technology to the field of traditional industry, the corpora for foreign languages to support exportation, the corpus for basic research for the sake of application in the industry, the corpora for common use, and others.

• Journal of Multimedia Information System
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• 제7권1호
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• pp.33-40
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• 2020

Machine learning consists of supervised and unsupervised learning among which supervised learning is used for the speech recognition objectives. Supervised learning is the Data mining task of inferring a function from labeled training data. Speech recognition is the current trend that has gained focus over the decades. Most automation technologies use speech and speech recognition for various perspectives. This paper demonstrates an overview of major technological standpoint and gratitude of the elementary development of speech recognition and provides impression method has been developed in every stage of speech recognition using supervised learning. The project will use DNN to recognize speeches using magnitudes with large datasets.