• Title/Summary/Keyword: phonemes

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Phoneme Frequency of 3 to 8-year-old Korean Children (3세${\sim}$8세 아동의 자유 발화 분석을 바탕으로 한 한국어 말소리의 빈도 관련 정보)

  • Sin, Ji-Yeong
    • Proceedings of the KSPS conference
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    • 2005.04a
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    • pp.15-19
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    • 2005
  • The aim of this study is to provide some information on frequencies of occurrence for units of Korean phonemes and syllables analysing spontaneous speech spoken by 3 to 8-year-old Korean children. 49 Korean Children(7${\sim}$10 children for each age) were employed as subjects for this study. Speech data were recorded and phonemically transcribed. 120 utterances for each child were selected for analysis except one child whose data were only 91 utterances. The data size of the present study were 5,971 utterances, 5,1554 syllables, and 105491 phonemes. Among 19 consonants, /n/ showed highest frequency rate of these four conson ants were over 50% for all age groups. Among 18 vowels, /a/ was the most frequent one and /i/ and / ${\wedge}$ were the second and third respectively. The frequency rate of these four consonants were over 50% for all age groups. Frequently occurring syllable types were a part of grammatical word in most cases. Only 5${\sim}$6% of syllable types covered 50% of speech.

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A Quantitative Linguistic Study on the Functional load of Phonemes in Standard Korean (한국어 음소의 기능부담량 - 계량 언어학적 연구)

  • Jin Nam-Taek
    • MALSORI
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    • no.25_26
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    • pp.65-92
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    • 1993
  • Not all linguistic units are of equal importance in the functioning of language. The present study aims to examine He functional load of phonemes in standard Korean, To achieve this goal, B analysed continuous texts selected from the textbooks of elementary school on a personal computer. The total number of syllables studied in this thesis is 101,637. The characteristics of the Korean syllable structures are as follows. 1) In a syllable head, /n/ occurs most frequently. 2) The frequencies of syllables with an onset are much higher than those with no onset ( 85% : 15% ), 3) In a syllable head, obstruents are preferred because their consonantal strength are great, (57%) 4) In a syllable nucleus, /a/ occurs most frequently. 5) The rate of occurrence of the monophthongs is 90.2%, and that of the diphthongs is 9.8%. Especially the three basic vowels(/i,a,u/) occur at the rate of 46.6%. 6) In a syllable coda, /n/ occurs most frequently. 7) The open syllables are favored (open syllable 68.7%, closed syllable 31.3%).

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A Study on the On-Line Handwritten Hangeul Pattern Recognition Using WLD with Parallelish (병렬성을 갖는 WLD 알고리즘을 이용한 온라인 필기체 한글, 영문자 및 숫자 패턴인식)

  • 김은원;조원경
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.10
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    • pp.747-754
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    • 1991
  • In this paper, we studies the on-line recognition of handwritten character using WLD(weighted levenshtein distance) algorithm with parallelism. The Hangeul can be separated for unit of phonemes and the alphanumeric can be separated for unit of characters. And, we studies the parallelism and the concurrency of the WLD algorithm for realization of special-purpose processor. By the simulation result for 10, 000 characters in practical sentences, the recognition rate of strokes in obtained 96.57$\%$ and the separation rate for phonemes and characteristics is obtained 95.4$\%$.

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A Method of the Extraction of Phonemes in Hangeul Recognition (한글 인식에 있어서의 자소추출)

  • ;市川忠男, 藤田廣一
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.18 no.2
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    • pp.36-43
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    • 1981
  • This paper describes a met hod of the extraction of phonemes in Hangout recognition. We provide the direction of strokes aid positional information for analyzing the structure of characters based on the regular combinational rules of Hangout according to Top -Down processing, and show the process of Phoneme extraction seq uencially. In this paper, some processing algorithms are described and simulated. The experiment of the phoneme extraction is carried out for 677 characters actully used daily, and extraction rate of 96% is obtained. The experimental results demonstrate the effectiveness of the proposed method.

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Korean Speech Segmentation and Recognition by Frame Classification via GMM (GMM을 이용한 프레임 단위 분류에 의한 우리말 음성의 분할과 인식)

  • 권호민;한학용;고시영;허강인
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.18-21
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    • 2003
  • In general it has been considered to be the difficult problem that we divide continuous speech into short interval with having identical phoneme quality. In this paper we used Gaussian Mixture Model (GMM) related to probability density to divide speech into phonemes, an initial, medial, and final sound. From them we peformed continuous speech recognition. Decision boundary of phonemes is determined by algorithm with maximum frequency in a short interval. Recognition process is performed by Continuous Hidden Markov Model(CHMM), and we compared it with another phoneme divided by eye-measurement. For the experiments result we confirmed that the method we presented is relatively superior in auto-segmentation in korean speech.

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The Study on Lossy and Lossless Compression of Binary Hangul Textual Images by Pattern Matching (패턴매칭에 의한 이진 한글문서의 유.무손실 압축에 관한 연구)

  • 김영태;고형화
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.4
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    • pp.726-736
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    • 1997
  • The textual image compression by pattern matching is a coding scheme that exploits the correlations between patterns. When we compress the Hangul (Korean character) text by patern matching, the collerations between patterns may decrease due to randoem contacts between phonemes. Therefore in this paper we separate connected phonemes to exploit effectively the corrlation between patterns by inducting the amtch. In the process of sequation, we decide whether the patterns have vowel component or not, and then vowels connected with consonant ae separated. When we compare the proposed algorithm with the existing algorith, the compression ratio is increased by 1.3%-3.0% than PMS[5] in lossy mode, by 3.4%-9.1% in lossless mode than that of SPM[7] which is submitted to standard committe for second generation binary compression algorithm.

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Performance Evaluation of English word Pronunciation Correction system (한국인을 위한 영어 발음 교정 시스템에 대한 성능 평가)

  • Kim Mujung;Kim Hyosook;Kim Byunggi
    • Proceedings of the KSPS conference
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    • 2003.05a
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    • pp.71-74
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    • 2003
  • In this paper, we present some of experimental results developed in computer-based English Pronunciation Correction System for Korean speakers. The aim of the system is to detect incorrectly pronounced phonemes in spoken words and to give correction comment to users. Speech data were collected from 254 native speakers and 411 Koreans, then used for phoneme modeling and test. We built two types of acoustic phoneme models: native speaker model and Korean speaker model. We also built langugage models to reflect Koreans' commonly occurred mispronunications. The detection rate was over 90% in insertion/deletion/replacement of phonemes, but we got under 75% detection rate in diphthong split and accents.

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Nonlinear Interaction between Consonant and Vowel Features in Korean Syllable Perception (한국어 단음절에서 자음과 모음 자질의 비선형적 지각)

  • Bae, Moon-Jung
    • Phonetics and Speech Sciences
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    • v.1 no.4
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    • pp.29-38
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    • 2009
  • This study investigated the interaction between consonants and vowels in Korean syllable perception using a speeded classification task (Garner, 1978). Experiment 1 examined whether listeners analytically perceive the component phonemes in CV monosyllables when classification is based on the component phonemes (a consonant or a vowel) and observed a significant redundancy gain and a Garner interference effect. These results imply that the perception of the component phonemes in a CV syllable is not linear. Experiment 2 examined the further relation between consonants and vowels at a subphonemic level comparing classification times based on glottal features (aspiration and lax), on place of articulation features (labial and coronal), and on vowel features (front and back). Across all feature classifications, there were significant but asymmetric interference effects. Glottal feature.based classification showed the least amount of interference effect, while vowel feature.based classification showed moderate interference, and place of articulation feature-based classification showed the most interference. These results show that glottal features are more independent to vowels, but place features are more dependent to vowels in syllable perception. To examine the three-way interaction among glottal, place of articulation, and vowel features, Experiment 3 featured a modified Garner task. The outcome of this experiment indicated that glottal consonant features are independent to both the place of articulation and vowel features, but the place of articulation features are dependent to glottal and vowel features. These results were interpreted to show that speech perception is not abstract and discrete, but nonlinear, and that the perception of features corresponds to the hierarchical organization of articulatory features which is suggested in nonlinear phonology (Clements, 1991; Browman and Goldstein, 1989).

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Speech Recognition of Korean Phonemes 'ㅅ', 'ㅈ', 'ㅊ' based on Volatility and Turning Points (변동성과 전환점에 기반한 한국어 음소 'ㅅ', 'ㅈ', 'ㅊ' 음성 인식)

  • Lee, Jae Won
    • KIISE Transactions on Computing Practices
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    • v.20 no.11
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    • pp.579-585
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    • 2014
  • A phoneme is the minimal unit of speech, and it plays a very important role in speech recognition. This paper proposes a novel method that can be used to recognize 'ㅅ', 'ㅈ', and 'ㅊ' among Korean phonemes. The proposed method is based on a volatility indicator and a turning point indicator that are calculated for each constituting block of the input speech signal. The volatility indicator is the sum of the differences between the values of each two samples adjacent in a block, and the turning point indicator is the number of extremal points at which the direction of the increment or decrement of the values of the sample are inverted in a block. A phoneme recognition algorithm combines the two indicators to finally determine the positions at which the three target phonemes mentioned above are recognized by utilizing optimized thresholds related with those indicators. The experimental results show that the proposed method can markedly reduce the error rate of the existing methods both in terms of the false reject rate and the false accept rate.

The Analysis and Recognition of Korean Speech Signal using the Phoneme (음소에 의한 한국어 음성의 분석과 인식)

  • Kim, Yeong-Il;Lee, Geon-Gi;Lee, Mun-Su
    • The Journal of the Acoustical Society of Korea
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    • v.6 no.2
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    • pp.38-47
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    • 1987
  • As Korean language can be phonemically classified according to the characteristic and structure of its pronunciation, Korean syllables can be divided into the phonemes such as consonant and vowel. The divided phonemes are analyzed by using the method of partial autocorrelation, and the order of partial autocorelation coefficient is 15. In analysis, it is shown that each characteristic of the same consonants, vowels, and end consonant in syllables in similar. The experiments is carried out by dividing 675 syllables into consonants, vowels, and end consonants. The recognition rate of consonants, vowels, end-consonants, and syllables are $85.0(\%)$, $90.7(\%)$, $85.5(\%)$and $72.1(\%)$ respectively. In conclusion, it is shown that Korean syllables, divided by the phonemes, are analyzed and recognized with minimum data and short processing time. Furthermore, it is shown that Korean syllables, words and sentences are recognized in the same way.

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