• 한국음향학회:학술대회논문집
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• 한국음향학회 1994년도 제11회 음성통신 및 신호처리 워크샵 논문집 (SCAS 11권 1호)
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• pp.395-398
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• 1994

In this paper the word recognition using sub-model based Hidden Markov Model was studied. Phoneme models were composed of 61 phonemes in therms of Korean language pronunciation characteristic. Using this, word model was maded by serial concatenation. But, in case of this phoneme concatenation, the second and the third phoneme of syllable are overlapped in distribution at the same time. So considering this, the method that combines the second and the third phoneme to one model was proposed. And to prevent the increase in number of model, similar phonemes were combined to one, and finially, 57 models were created. In experiment proper model structure of sub-model was searched for, and recognition results were compared. So similar recognition results were maded, and overall recognition rates were increased in case of using parameter tying method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.435-436
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• 2007

Although previous speech analysis programs usually provide speech analysis and phoneme labeling functionalities, they require much time in manual labeling and support only English alphabets. To solve these problems, we develop a new Windows-based program with an improved phoneme and tone labeling method as well as the conventional speech analysis functionalities. The developed program has the unique feature in semi-automatic phoneme and tone labeling based on hidden Markov models.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2003년도 5월 학술대회지
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• pp.219-222
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• 2003

In this paper, we study the usage of phoneme duration information for rejection garbage sentence. First, we build a phoneme duration modeling in a speech recognition system based on dicicion tree state tying, We assume that phone duration has a Gamma distribution. Next, we build a verification module in which word-level confidence measure is used. Finally, we make a comparative study on phoneme duration with speech DB obtained from the live system. This DB consistes of OOT(out-of-task) and ING(in-grammar) utterences. the usage of phone duration information yields that OOT recognition rate is improved by 46％ and that another 8.4％ error rate is reduced when combined with utterence verification module.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.196-197
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• 2009

비디오에서 우선 장면 전환 검출을 통해 생성된 키 프레임을 대상으로 프로젝션을 통하여 문자 인식을 수행하도록 한다. 텍스트의 자간 분리를 수직 프로젝션에 의해 분리 한다. 자소는 초성, 중성, 종성으로 분리하고 6가지 유형으로 분리한다. 자소 패턴 분리는 수평 프로젝션을 통하여 6가지 유형에 맞도록 분리한다. 자소는 수평, 수직, 사선, 역사선 방향으로 분리한다. 자소의 인식은 4-방향 프로젝션과 위치정보를 이용하여 인식하도록 한다.

• 말소리와 음성과학
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• 제10권4호
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• pp.53-66
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• 2018

This study investigated the development of English phonological awareness in preschool children based on a longitudinal study. It carried out a phonological matching task, mispronunciation task, articulation test, explicit phoneme awareness task, rhyme matching task, and initial-phoneme matching task for three-, four- and five-year-old children. A letter knowledge test was also added to the tests for the 5-year-old children. The results revealed that the development of phonological awareness follows a progression of syllable, then onset and rhyme, then phoneme. It was also revealed that language skills such as vocabulary, detection of mispronunciations, and articulation were partially related to the development of phoneme awareness. Finally, we also found that letter knowledge partially affected the children's development of phonological awareness.

• 대한음성학회:학술대회논문집
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• 대한음성학회 1996년도 2월 학술대회지
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• pp.137-155
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• 1996

The purpose of this paper is to generate a pitch contour which is affected by tile phonetic environment and the number of syllables in each Korean isolated word using a neural network. To do this, we analyzed a set of 513 Korean isolated words, consisting of 1-4 syllables and extracted the pitch contour and the duration of each phoneme in all the words. The total number of phonemes we analyzed is about 3800. After that we approximated the pitch contour with a 1st order polynominal by a regression analysis. We could get the slope, the initial pitch and the duration of each phoneme. We used these 3 parameters as the target pattern of the neural network and let the neural network learn the rule of the variation of the pitch and duration, which was affected by the phonetic environment of each phoneme. We used 7 consecutive phoneme strings as an input pattern for a neural network to make the network learn the effect of phonetic environment around the center phoneme. In the learning phase, we used 3545 items(463 words) as target patterns which contained the phonetic environment of front and rear 3 phonemes and the neural network showed the correctness rate of 98.43%, 98.59%, 97.7% in the estimation of the duration, the slope, the initial pitch. In the recall phase, we tested the performance of tile neural network with 251 items(50 words) which weren't need as learning data and we could get the good correctness rate of 97.34%, 95.45%, 96.3% in the generation of the duration, the slope, and the initial pitch of each phoneme.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1999년도 추계종합학술대회
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• pp.224-229
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• 1999

음성 인식 연구는 유사음소 단위의 인식시스템을 구축하는 방향과 단어 단위의 인식시스템에서의 효율을 최대화하는 방향으로 이루어지고 있다. 이중 유용한 유사음소 단위의 인식시스템 구현을 위해서는 음소의 경계 검출 문제와 검출된 음소에 대한 인식률 향상 문제가 해결되어야 한다. 기존의 LPC(Linear Predictive Coefficient) 방법들은 기준 음소데이터의 LPC와 입력 음성프레임의 LPC 사이의 거리를 Itakura-Saito 방법으로 구하여 음소의 경계를 검출하였으며, 근래에는 MFCC(Mel-Frequency-Cepstrum Coefficient)를 이용하여 스펙트럼의 천이부분을 음소의 경계로 검출하는 방법들이 제안되어왔으나 이러한 방법들은 공통적으로 적응성이 미비하다는 단점이 있다. 본 논문에서는 이러한 단점을 극복하기 위해 음소경계검출을 위해서는 auto-correlation을 이용하고 음소인식을 위해서는 적응성이 뛰어난 다층 Feed-Forward 신경망을 사용하는 새로운 인식시스템을 제안하였다 제안하는 시스템은 기존의 방법들보다 적응성이 뛰어나고 특징추출부분과 인식 부분의 알고리듬이 독립적이라는 장점을 가지며 프레임단위의 음소인식시스템의 구현 가능성을 확인해 주었다.

• 아동학회지
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• 제26권4호
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• pp.145-155
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• 2005

This study was carried out to reveal Hangul acquisition processes in Korean-Chinese children who grow in a horizontal bilingual environment. In this experiment Grapheme substitution/deletion tasks and sensible/non-sensible Kulja reading tasks were administered to 3-, 4-, 5- and 6-year-old Korean-Chinese children growing up in a bilingual environment. Results were that Korean-Chinese children showed similar patterns of Hangul acquisition processes to Korean children but acquired grapheme-phoneme(G-P) correspondence earlier than Korean children. Hangul acquisition rates were 41.7%, 45.7%, 53% and 92.7% at age 3, 4, 5 and 6, respectively. Both Korean-Chinese and Korean children showed higher sensitivity for the final consonant than for the initial and middle consonants. Correlation between phoneme perception and reading was only significant among 6-year-olds in non-sensible Kulja reading tasks. Training in transforming ideographic Chinese to a phonetic system could effect early acquisition of G-P correspondence in Korean-Chinese children.

• 음성과학
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• 제8권4호
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• pp.99-107
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• 2001

The purpose of this study was to investigate the syllable and phoneme frequencies in the spontaneous speech of some Korean children. Sixty four normally developing children aged from 2 to 5 were involved (male: female=1 : 1, 16 children in each age group). Fifty connected utterances were analyzed using the KCLA (Korean Computerized Language Analysis) 2.0 and Exel. The findings were as follows: 1) /i/ was the most frequently used syllable and was followed by /yo/, /k/, /s'/, /nen/ and so on. 2) The most frequently used Korean phonemes were syllable-initial consonant /k/, syllable- medial vowel /a/ and syllable-final consonant /n/. 3) All seven syllable final consonants (/p,t,k,m,n,n,l/) were used more frequently in the word-medial position than in the word-final position. Three syllable initial consonants(/k, I, s'/) were used more frequently in the word-medial position than in the word-initial position. The syllable and phoneme frequencies in the Korean children's spontaneous speech will provide valuable information in interpreting the severity of phonological disorder and in developing tools for the Korean phonological assessment and intervention.

• 한국철도학회논문집
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• 제14권3호
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• pp.228-233
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• 2011

본 논문에서는 한국의 지하철역명을 위하여 음운론적 특성을 반영한 음소 기반의 음성인식 구현에 관한 방법을 제시하였다. 한국의 지하철역명의 음소 기반의 음성인식을 위하여 사용되는 최적의 유사음소 단위(PLU: Phoneme-Likely Unit)를 선정하기 위하여 네 가지의 Case 별로 PLU set과 음운 현상을 고려한 발음사전을 구성하여 인식률을 평가하였다. 적용된 유사음소 단위의 경우 초성과 종성 자음의 인식 단위 구분 및 음운 현상을 반영한 경우 트라이폰 모델에서 최적의 인식률(97.74%)을 보임을 알 수 있었다.