• 제목/요약/키워드: prosodic characteristic

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운율 특성 벡터와 가우시안 혼합 모델을 이용한 감정인식 (Emotion Recognition using Prosodic Feature Vector and Gaussian Mixture Model)

  • 곽현석;김수현;곽윤근
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문집
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    • pp.762-766
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    • 2002
  • This paper describes the emotion recognition algorithm using HMM(Hidden Markov Model) method. The relation between the mechanic system and the human has just been unilateral so far. This is the why people don't want to get familiar with multi-service robots of today. If the function of the emotion recognition is granted to the robot system, the concept of the mechanic part will be changed a lot. Pitch and Energy extracted from the human speech are good and important factors to classify the each emotion (neutral, happy, sad and angry etc.), which are called prosodic features. HMM is the powerful and effective theory among several methods to construct the statistical model with characteristic vector which is made up with the mixture of prosodic features

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학령전기아동 관련 성인의 운율 특성 (The Prosodic Characteristics of Pre-school Age Children-Related Adults)

  • 김지원;성철재
    • 말소리와 음성과학
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    • 제6권3호
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    • pp.23-32
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    • 2014
  • This study presents the prosodic characteristics of 'Motherese' and 'Teacherese (child care teacher and kindergarten teacher)'. 21 mothers and 24 teachers spoke to children in the child care center or kindergarten. Children are in their 4;00-6;11. Speech and articulation rate, number of accentual phrases (APs), number of intonational phrases (IPs), pitch-related factors (f0, pitch range, f0 standard deviation), and intonation slope (mean Absolute, f0, q-tone slope) were measured. 2 groups spoke 2 sentential types (interrogative_ alternative question, declarative_ coordinated sentence) in 2 situations (one accompanied with the children, the other done without children, but pretending as if they were in front of the children). The results indicate that teachers show more noticeable prosodic characteristics than mothers do.

주변 잡음 환경에 강한 화자인식 알고리즘 연구 (A study on the robust speaker recognition algorithm in noise surroundings)

  • 정종순
    • 한국컴퓨터정보학회논문지
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    • 제10권6호
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    • pp.47-54
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    • 2005
  • 대부분의 화자인식 시스템은 음성 분석을 통해 화자의 특징을 음향 파라미터 형태로 추출하여 화자의 표준패턴을 만든 후, 입력된 미지의 음성패턴과의 차이를 계산하여 허용 여부를 최종적으로 판단한다. 화자인식에 사용하는 파라미터는 화자의 특징을 충분히 표현함과 더불어 발성 시마다 변동이 작은 것이 바람직하다. 따라서 본 논문에서도 이를 위해서 다음과 같이 제안하였다. 벡터 양자화모델에 비잡음 환경에 강한 스펙트럼 특징과 잡음 환경에 강한 운율정보를 화자인식 시스템에 이용할 것을 제안하였다. 훈련과정에서 코드북 형성시 실제 데이터를 스펙트럼 특징과 운을 특징을 조합하여 원하는 모델 수만큼 만들었다. 인식과정에서는 입력된 테스트패턴을 각 모델간에 거리 측도로 비교하여 가부를 결정하였다. 실험결과 스펙트럼 특징과 운을 특징을 각각 이용할 경우 보다 좋은 인식율을 얻었으며, 특히 잡음 환경에서 안정된 인식율을 확보하므로 상용화의 가능성을 한층 높였다.

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음성 인식/합성을 위한 국어의 음성-음운론적 특성 연구 (A Study of Korean Phonetic and Phonological Properties for Speech Recognition and Synthesis)

  • 정국;구희산;이찬도;김종미;한선희
    • 한국음향학회지
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    • 제13권6호
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    • pp.31-44
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    • 1994
  • 본 논문은 국어 음성 인식 및 합성을 위한 음운$\cdot$음성학적인 기초 연구 몇가지를 포괄적으로 소개하고자 한다. 그 구체적인 내용은 첫째, 분절음의 음운론적 특성연구로서, 분절음의 변이 목록및 컴퓨터 입력 기호의 작성, 둘째, 분절음의 음성학적 특성 연구로서, 단어내 자음의 위치에 따라 음향 파라메타를 조정하는 시범안 제시, 세째, 운율의 음운론적 특성 연구로서 운율 자질들의 음운론적 기능과 인식 단서의 제시, 네째, 운율의 음성학적 특성 연구로서 표준 한국어의 악센트와 억양 패턴의 제시, 다섯째, 음성 인식 및 합성에의 국어 음성$\cdot$음운 지식의 활용 방안 제시이다.

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한국인 영어 학습자의 영어 관계절 모호성 해소의 운율적 전략 (Korean English Learners' Prosodic Disambiguation in English Relative Clause Attachment)

  • 전윤실;신지영;김기호
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2006년도 춘계 학술대회 발표논문집
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    • pp.67-70
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    • 2006
  • Prosody can be used to resolve syntactic ambiguity of a sentence. English relative clause construction with complex NP(the N1, N2, and RC sequence) has syntactic ambiguity and the clause can be interpreted as modyfying N1(high attachment) or N2(low attachment), Speakers and listeners can disambiguate those sentences based on the prosody. In this paper, we investigate the Korean English learners production on the prosodic structure of English relative clause construction. The production experiment shows that the beginner learners use the phrasing frequently and the advanced learners depend on both the phrasing and the accent. One of the characteristic of the Korean English learners' intonation is that the Korean accentual phrase tone pattern LHa is transferred to their production.

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Prosodic Disambiguation of Low versus High Syntactic Attachment across Lexical Biases in English

  • Jeon, Yoon-Shil;Yoon, Kyu-Chul
    • 말소리와 음성과학
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    • 제4권1호
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    • pp.55-65
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    • 2012
  • In this study, the prosodic disambiguation of the syntactic attachment differences was investigated in relation to the effect of lexical bias. Speech materials were composed of N1-conj-N2-PP phrases such as "walkers and runners with dogs." The results show that the use of durational pattern is dominant over the pitch pattern to differentiate the attachment differences. The characteristic pitch contour was the rise and fall over N1 and N2 in the high attachment. The pitch contour in the low attachment was the rise and fall over N2 and N3 although the frequency of such patterns was lower for the low attachment case. For the durational pattern, the lengthening in the N2 region plays a significant role in the disambiguation of the syntactic attachments. The interaction between the lexical bias and the syntactic attachment was not statistically significant in the duration data.

모방 발화의 음향음성학적 연구(3) -전문 성대 모사자의 자료를 중심으로- (An Acoustic Study on the Voice Imitation(3) - Based on a professional voice imitator′s speech -)

  • 안병섭;박미영
    • 대한음성학회지:말소리
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    • 제52호
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    • pp.1-14
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    • 2004
  • In this study, we investigated acoustic characteristics of imitated utterances by a professional voice imitator, focusing on prosodic properties such as vowel formants and f0 distribution. To see the patterns of a voice imitation by a professional voice imitator, we compared the imitator's voice data with target speakers' voice data. The professional imitator, Mr. Bae produced utterances imitating the former President Kim's, the comedian Choi's, and the singer Bae's voices. Auditorily, the imitator was judged to imitate all the target speakers' voices successfully. However, acoustic examination showed that the imitator was better at imitating the singer Bae's voice in that the imitator's and the singer Bae's voices are more alike with respect to vowel formants and f0 distribution. We infer this is because the imitator's normal voice is very similar to the singer Bae's voice. On the other hand, the imitator's voice data showed that the patterns of vowel formants and f0 distribution found in the imitator's imitation voices of the other two target speakers were different from those of target speakers' voices.

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Intonational Characteristics of Korean Focus Realization by American Learners of Korean

  • Oh, Mi-Ra;Kang, Sun-Mi;Kim, Kee-Ho
    • 음성과학
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    • 제11권1호
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    • pp.131-145
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    • 2004
  • The informative or important entities in utterances are focused and the focused items are usually accompanied by changes in phonetic manifestation. Phonetic realizations triggered by focus include changes of tonal contours as well as segmental strengthening. Focus in Korean is characterized by new phrase initiation, dephrasing, and initial tone contour with an enlarged pitch range in addition to segmentally lengthened initial segment. Focusing on the prosodic cues which play an important role in delivering the speakers' intention, this study aims to find out what intonational characteristics of Korean focus are realized by English learners of Korean. The English learners are divided into two groups according to their fluency in Korean, and the differences in focus realization between each group are discussed. Furthermore, the phonological and phonetic realizations of focus by English learners of Korean are compared to those by Korean native speakers. The results of this study yields two suggestions for Korean intonation education of L2 learners. First, the comparison between the two speaker groups can give better understanding in how and why the Korean intonation of English speakers is different from that of Koreans. Second, each phonological and phonetic characteristic of focus realization can weigh differently and its realization provides a criterion for evaluation of L2 Korean proficiency.

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The effect of word length on f0 intervals: Evidence from North Kyungsang children

  • Kim, Jungsun
    • 말소리와 음성과학
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    • 제7권1호
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    • pp.107-116
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    • 2015
  • The present experiment investigated the effect of word length on the length of f0 intervals for North Kyungsang children. In order to find out the lengths of the f0 intervals, the f0 values at the midpoints of vowels in words were measured. F0 estimates were computed as intervals consistent with the logarithmic scale corresponding to the number of syllables in the words. The results indicated that the mean f0 intervals in words of different lengths showed a significant difference for the HH in HH vs. HHL and the LH in LH vs. LLH for North Kyungsang children. Adult speakers from the North Kyungsang region significantly differed only within the HH in HH vs. HHL. Adult speakers made a noticeable contribution in this characteristic from the children. The result of the adult study was presented to confirm whether the children used a North Kyungsang dialect. With respect to individual speaker differences, the North Kyungsang children showed more or less consistent patterns in quantile-quantile plots for the HH vs. HHL, but for the HL vs. LHL and LH vs. LLH, there were more variations than for the HH vs. HHL. The individual speakers' variation was the largest for the HL vs. LHL and the smallest for HH vs. HHL. Considering these results, the effect of word length on f0 intervals tended to show pitch accent-type-specific characteristics in the process of prosodic acquisition.

피치변경을 이용한 화자인식 시스템 (The Speaker Recognition System using the Pitch Alteration)

  • 정종순;배명진
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2002년도 하계학술발표대회 논문집 제21권 1호
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    • pp.115-118
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    • 2002
  • 화자인식에 사용하는 파라미터는 화자의 특징을 충분히 표현함과 더불어 발성 시마다 변동이 작은 것이 바람직하다. 즉, 파라미터의 화자내의 변이보다 화자간의 변이가 큰 특성을 가져야 화자간의 구분이 용이하다. 또한, 화자간 오류를 최소화하기 위해 화자간 구별이 뚜렷한 특징 파라미터뿐만 아니라 분별력이 뛰어난 인식방법도 필요하다. 최근의 실험결과들을 살펴보면 발성기관에 의한 정적인 특징뿐 아니라, 발성습관에 의한 동적인 특징을 같이 이용함으로써 보다 정확한 인식결과를 얻고 있다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위해 다음과 같이 제안한다. 음성의 특징벡터로 운율정보 사용을 제안한다 현재 화자인식 시스템에서 일반적으로 많이 사용되고 있는 특징벡터는 스펙트럼 정보를 모델링하고 있는 것으로 비잡음 환경에서 종은 성능을 보이고 있다. 그러나 잡음 환경변화에 크게 왜곡되며 인식율이 현저하게 저하되는 문제점이 나타난다. 그러므로 본 논문에서는 음성의 동적 변화를 측정할 수 있는 세그먼트로 분할한 피치열을 변경하여 인식의 특징패턴으로 사용한다. 이는 문장의 운율정보를 보여주는 것으로 소음환경에서 강인한 특성을 보였다.

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