• Title/Summary/Keyword: phonemes

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Recognition of Cursive Korean Characters Using DP Matching and Fuzzy Theory (DP 매칭과 퍼지 이론을 이용한 흘림체 온라인 한글인식)

  • 심동규;함영국;박래홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.4
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    • pp.116-129
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    • 1993
  • This paper proposes an on-line Recognition scheme of cursive Korean characters based on the DP matching and fuzzy concept. The proposed algorithm, invariant to rotation and size, reduces greatly the computational requirement of dynamic programming by matching phonemes rather than character patterns, where the angle difference and the ration of lengths between input and reference patterns are adopted as matching features. The correct matching of poorly written cursive characters becomes possible by introducing the fuzzy concept in representing the features of phonemes and the ralative position between adjacent phonemes. Computer simulation results are observed to show the effectiveness of the proposed algorithm.

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A Study on Phoneme Extractions and Recognitions for Handwritten Korean Characters using Context-Free Grammar (CFG 방법을 이용한 필기체 한글에서의 자소추출과 인식에 관한 연구)

  • 김형래;박인갑;서동필;김에녹
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.9
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    • pp.8-16
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    • 1992
  • This paper presents a method which can recognized the Handwritten Korean characters by using a Context-Free Grammar. The input characters are thinned in order to dwindle the mount of data, the thinned characters are converted into one-dimension strings according to six-forms. when the point of contact among phonemes is found, two phonemes are seperated respectively by marking the index mark (\) at the points. The Context-Free Grammar to input characters is classified into group grammars concerning the similarity of phonemes, input characters are parsed by making use of the Pushdown automata method. As the bent parts in the Handwritten characters are found frequently, We try to correct the bent parts by using the parsing distance measure, which recognize characters according to minium value caused by measuring the weight distance between two sentences. In this experiment, the recognition rate shows 93.8% to 275 Handwritten Korean characters.

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Effects of Vocal Relaxation Treatment on the Articulation Accuracy and Compensatory Articulation of Cleft Palate Children (성대이완 조음치료가 구개파열 아동의 조음정확도 향상과 보상조음 감소에 미치는 효과)

  • Lee, So-Young;Kim, Young-Tae
    • Speech Sciences
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    • v.8 no.3
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    • pp.185-200
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    • 2001
  • This study was designed to investigate the treatment, generalization, and maintenance effects of vocal relaxation treatment on compensatory articulation(i.e., glottalization of plosive sound) of three children with cleft palate. Multiple baseline design was applied to evaluate treatment, generalization, and maintenance effects. The targeted phonemes were ph/, th/, /t/ which Were frequently substituted by glottal stop sounds. The main component of the treatment program was vocal relaxation using humming and aspiration sound /h/. The following conclusions were deduced from the results: (1) the treatment program for compensatory articulation was effective in facilitating correct production of targeted phoneme and eliminating glottalization for all subjects, (2) the treatment effects on articulation accuracy were generalized to untreated phonemes (/c/, /c$c^{h}$/) for 2 subjects, (3) the treatment effects on decrease of glottalization were generalized to untreated phonemes for all subjects, and (4) the treatment effects were maintained for all subjects for 2 weeks after treatment was terminated.

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A Comparative Study on the Frequency of Allophones, Phonemes and Letters in Korean (국어의 이음.음소와 자모의 출현빈도수 조사 대비 및 분석)

  • Lee, Sang-Oak
    • Speech Sciences
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    • v.8 no.3
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    • pp.51-73
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    • 2001
  • This study starts with an investigation of the frequency of allophones from the narrowly transcribed data of (1) most frequently used 2000 words and (2) some passages of standard Seoul Korean. Consequently this entails the investigation of the frequency of phonemes by adding the number of allophones. These two investigations are conducted for the first time in the study of Korean phonology. Previous studies on the reported 'frequency of phoneme' are in fact studies on the 'frequency of letters' and the critical difference between these two types of studies has yet to be clarified accurately. This paper also reveals the proportional distribution of natural classes among Korean phonemes and letters.

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Extra Vowel Addition Produced in Korean Students' English Pronunciation of Word-final Stop Consonants (영어 폐쇄자음 발음 뒤에 나타나는 모음추가 현상)

  • Hwang, Young-Soon
    • Speech Sciences
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    • v.7 no.4
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    • pp.169-186
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    • 2000
  • This paper aims to confirm the mispronunciation of native Korean students due to the phonetic and phonological system differences between English and Korean, and to find the works-to-do by experiment. Many Korean students tend to differentiate the sounds of word-final stop consonants not by vowel duration or the allophones but by the phoneme of the consonant itself. In English, Stop sounds change through the conditions of the aspirated, unaspirated, or unreleased sounds. But in Korean they are not allophones of phonemes but distinct phonemes. Therefore, many Korean students are apt to add an extra vowel sound /i/ after the final stop consonant in the eve form due to both the unperception of the differences between the phonemes and the allophones of stop consonants, and the influence of the Korean sound-sequence relationship. Since the replacement of the allophones and extra vowel addition does not change the meaning, the importance was almost lost. Nevertheless, this kind of study is essential for the precise learning and the use of the English language.

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A Recognition Method of HANGEUL Pattern Using a State Space Search (상태공간탐색을 이용한 한글패턴 인식방법)

  • 김상진;이병래;박규태
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.4
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    • pp.267-277
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    • 1990
  • In this paper, a method of separation and recognition of phonemes from a composite Korean character pattern through a state space search strategy which is a problem solving method in artificial intelligence is proposed. To correlate the separating of phonemes with their recognizing, the problem is represented into the state space, on which a search strategy is performed. For the minimization of search area, the structural information based on the composition rules of Korean characters and the positional information of phonemes in the basic forms are used. And the effectiveness of the approach is shown by a computer simulation.

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On-Line Recongnition of Handwritten Hangeul by Structure Analysis (구조해석에 의한 필기체 한글의 온라인 인식)

  • Hong, Sung Min;Kim, Eun Won;Park, Chong Kug;Cho, Won Kyung
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.1
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    • pp.114-119
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    • 1986
  • In this paper, an algorithm for the on-line recognition of handwritten Hangeul is proposed. The strokes are recognized by the minimum distance parser. The phonemes are separated by the finite-state automata resulted from the state graph of phonemes which are produced by the order of strokes. By simulation result for 3,000 characteristics in practical sentences, the recognition rate of strokes is obtained to be 98.5% and the separation rate of phonemes is obtained to be 92.5%.

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Transcription of Sounds and a Problem of the IPA

  • Chung, Kook
    • Speech Sciences
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    • v.9 no.1
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    • pp.63-75
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    • 2002
  • This paper examines the principles of the International Phonetic Association and its Alphabet to see if the International Phonetic Alphabet (the IPA, for short) is adequate for transcribing sounds of a language like Korean. Special attention is given to 'broad transcription' and it has been found that the IPA is inadequate in representing the phonemes: there is no way to correctly transcribe phonemically the sounds of Korean with the current alphabet. A suggestion is given to help solve this problem and extend the IPA to accommodate all the different languages of the world.

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Phoneme Segmentation in Consideration of Speech feature in Korean Speech Recognition (한국어 음성인식에서 음성의 특성을 고려한 음소 경계 검출)

  • 서영완;송점동;이정현
    • Journal of Internet Computing and Services
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    • v.2 no.1
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    • pp.31-38
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    • 2001
  • Speech database built of phonemes is significant in the studies of speech recognition, speech synthesis and analysis, Phoneme, consist of voiced sounds and unvoiced ones, Though there are many feature differences in voiced and unvoiced sounds, the traditional algorithms for detecting the boundary between phonemes do not reflect on them and determine the boundary between phonemes by comparing parameters of current frame with those of previous frame in time domain, In this paper, we propose the assort algorithm, which is based on a block and reflecting upon the feature differences between voiced and unvoiced sounds for phoneme segmentation, The assort algorithm uses the distance measure based upon MFCC(Mel-Frequency Cepstrum Coefficient) as a comparing spectrum measure, and uses the energy, zero crossing rate, spectral energy ratio, the formant frequency to separate voiced sounds from unvoiced sounds, N, the result of out experiment, the proposed system showed about 79 percents precision subject to the 3 or 4 syllables isolated words, and improved about 8 percents in the precision over the existing phonemes segmentation system.

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Speech Synthesis using Diphone Clustering and Improved Spectral Smoothing (다이폰 군집화와 개선된 스펙트럼 완만화에 의한 음성합성)

  • Jang, Hyo-Jong;Kim, Kwan-Jung;Kim, Gye-Young;Choi, Hyung-Il
    • The KIPS Transactions:PartB
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    • v.10B no.6
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    • pp.665-672
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    • 2003
  • This paper describes a speech synthesis technique by concatenating unit phoneme. At that time, a major problem is that discontinuity is happened from connection part between unit phonemes, especially from connection part between unit phonemes recorded by different persons. To solve the problem, this paper uses clustered diphone, and proposes a spectral smoothing technique, not only using formant trajectory and distribution characteristic of spectrum but also reflecting human's acoustic characteristic. That is, the proposed technique performs unit phoneme clustering using distribution characteristic of spectrum at connection part between unit phonemes and decides a quantity and a scope for the smoothing by considering human's acoustic characteristic at the connection part of unit phonemes, and then performs the spectral smoothing using weights calculated along a time axes at the border of two diphones. The proposed technique removes the discontinuity and minimizes the distortion which can be occurred by spectrum smoothing. For the purpose of the performance evaluation, we test on five hundred diphones which are extracted from twenty sentences recorded by five persons, and show the experimental results.