• 제목/요약/키워드: Sentence Length

검색결과 88건 처리시간 0.175초

문맥 내에서 좌우반구 손상자의 동음어에 대한 운율 산출 비교 (A Study of the Prosodic Characteristics of Homographs with Context Cues by Subjects with Right and Left Hemisphere Damage)

  • 이명순
    • 말소리와 음성과학
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    • 제2권1호
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    • pp.13-21
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    • 2010
  • The purpose of this study was to examine the prosody characteristics of sentence-level utterances which contain homographs with context cues in patients with neurogenic communication disorders. Homographs which may be affected by prosody, especially tonic length features, were used to investigate this matter. The characteristics of tone, duration, pitch, and pitch peak were analyzed to examine the characteristics of prosody in patients with lesions in the left or right hemisphere and normal controls. The whole process was recorded using Praat 4.3.14 and for statistical analyses, three-way ANOVA and multiple comparative analyses, Chi-Square tests, and a one-way ANOVA were carried out using SPSS 12.0 for Windows. The conclusions of this study are as follows. First, the length of syllables and vowels in homographs in Korean was different depending on the meaning and was not significant between groups. Second, it was found that patients with lesions in the right hemisphere had significant difference on pitch. Third, it was found that frequency of pitch peak and tone in 'short' tone syllables were different between groups. The conclusion of this study found that the prosody of homographs between groups absolutely was not differentiated. Accordingly, more detailed studies of acoustic parameters and other parameters which the prosody characteristic between groups could be found are needed in the future.

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음성의 안정적 변수 추출을 위한 SOP 개발 연구 (Study of Developing SOP for Extracting Stable Vocal Features for Accurate Diagnosis)

  • 김근호;장준수;김영수;김종열
    • 동의생리병리학회지
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    • 제25권6호
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    • pp.1108-1112
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    • 2011
  • Voice can be widely used to classify the four constitution types and to recognize one's health condition from extracting meaningful features as physical quantity in traditional Korean medicine or Western medicine. In this paper, we proposed the method to update the standard operating procedure (SOP) to acquire and record voices for extracting stable vocal features since they are sensitive to the variation of a subject's utterance. At first, we obtained pitch frequencies from vowels and the sentence and intensity form the sentence as features with voices acquired under subjects' utterance conditions and then the deviation ratios of features from median values according to the utterance conditions were obtained and the condition to minimize the ratio was selected as a new SOP. As a result, we decided the SOP for a subject to utter vowels with the length of 2s~1s and sentences with over 2s interval between them after practice, in consideration of the deviation and qualitative requirements. Stable voice features obtained from updated SOP produce accurate diagnosis, which will be developed and simplified for using in the u-Healthcare system of personalized medicine.

16~18세 청소년기 음성의 음향음성학적 특성 (Acoustic Characteristics on the Adolescent Period Aged from 16 to 18 Years)

  • 고혜주;강민재;권혁제;최예린;이미금;최홍식
    • 말소리와 음성과학
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    • 제5권1호
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    • pp.81-90
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    • 2013
  • During adolescence the mutational period is characterized by the changes in the laryngeal structure, the length of the vocal cords, and a tone of voice. Usually, adolescents at 15 or 16 reach the voice of adults but the mutational period is sometimes delayed. Therefore, studies on the voice of adolescents between 16 ~ 18 right after the mutational period are required. Accordingly, this paper attempted to provide basic data about the normal standard for patients with voice disorders during this period by evaluating the vocal characteristics of males and females between 16 ~ 18 with an objective device bycomparing and analyzing them by sex and age. The study was conducted on a total of 60 subjects composed of each 10 subjects of each age. The vocal analysis was conducted by MPT (Maximum Phonation Time) measurement, sustained vowels and sentence reading. As for /a/ sustained vowels, fundamental frequency, hereinafter referred to as $F_0$, jitter, shimmer, noise-to-harmonic ratio, hereinafter referred to as NHR were measured by using the Multi-dimensional voice program (MDVP) among the Multi-Speech program of Computerized Speech Lab (Kay Elemetrics). The sentence reading, mean $F_0$, maximum $F_0$ and minimum $F_0$ were measured using the Real-Time Pitch (RTP) Model 5121 among the Multi-Speech program of Computerized Speech Lab (Kay Elemetrics). As a result, according to sex, there were statistically significant differences in $F_0$, jitter, shimmer, mean $F_0$, maximum $F_0$, and minimum $F_0$; and according to age, there were statistically significant differences in MPT. In conclusion, the voice of the adolescents between 16 ~ 18 reached the maturity levels of adults but the voice quality which can be considered on the scale of voice disorders showed transition to the voice of an adult during the mutational period.

육하원칙 활성화도를 이용한 신문기사 자동추출요약 (Automatic Extractive Summarization of Newspaper Articles using Activation Degree of 5W1H)

  • 윤재민;정유진;이종혁
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권4호
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    • pp.505-515
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    • 2004
  • 육하원칙은 신문기사를 기술하는데 있어서 가장 기본적인 요소로서 기사 내용 파악에 핵심적인 역할을 수행한다. 본 논문은 이러한 육하원칙에 기반 하여 기술되는 신문기사의 특성에 주목하여, 육하원칙 활성화도를 이용한 신문기사 요약 방법론을 제안한다. 제안하는 방법론은 기존의 요약 기법 중 가장 우수한 방법으로 알려진 두문 기반 기법(lead-based method)과 제목 기반 기법(title-based method)의 문제점을 극복하기 위해, 제목과 두문의 정보를 결합시켜 충분한 어휘정보를 확보하도록 하였다. 특히 육하원칙 활성화도, 육하원칙 범주 개수, 문장 길이, 문장의 위치 둥과 같은 다양한 요소들을 문장 중요도 계산에 반영함으로써 보다 중요한 정보를 포함하면서도 가독성이 높은 문장들이 요약문으로 선택될 수 있도록 고려하였다. 제안된 방법론의 정확률은 74.7%로서 기존의 두문 기반 기법보다 우수한 성능을 보였으며, 신문기사를 자동 요약하는데 있어서 충분히 효과적으로 사용될 수 있는 방법론임을 실험을 통해 입증하였다.

Document Summarization via Convex-Concave Programming

  • Kim, Minyoung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제16권4호
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    • pp.293-298
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    • 2016
  • Document summarization is an important task in various areas where the goal is to select a few the most descriptive sentences from a given document as a succinct summary. Even without training data of human labeled summaries, there has been several interesting existing work in the literature that yields reasonable performance. In this paper, within the same unsupervised learning setup, we propose a more principled learning framework for the document summarization task. Specifically we formulate an optimization problem that expresses the requirements of both faithful preservation of the document contents and the summary length constraint. We circumvent the difficult integer programming originating from binary sentence selection via continuous relaxation and the low entropy penalization. We also suggest an efficient convex-concave optimization solver algorithm that guarantees to improve the original objective at every iteration. For several document datasets, we demonstrate that the proposed learning algorithm significantly outperforms the existing approaches.

승복과 무복으로 착용되는 장삼에 관한 연구 (Research on Jangsam in Buddhist Priest's and Shaman's costumes)

  • 김은정
    • 대한가정학회지
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    • 제42권2호
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    • pp.151-160
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    • 2004
  • This paper researched and compared the Jangsam religious costume, of Buddhism in Yeongsanjae with that of Shamanism in Gutgeori. Jangsam is a full length, flaxen hemp dress used in both religions. (Ed-please amend this sentence as necessary but note that it is essential to give some description of the costume here for non-Korean readers) The religious point of view can cause Jangsam's features to differ Jangsam's meanings are as follows. First, the purpose of wearing Jangsam in both the Buddhist priest's and Shamans' costumes is to gain power from the Almighty in order to maximize the religious effect. Second, Jangsam in the Shaman's costume features universality mixed with Buddhism and folk religion and becomes symbolic in Buddhism. As society disregards Shamanism, it has become combined with Buddhism. Third, Jangsam for Yeongsanjae or Chukwon Gut has kept its religious specialty as a Pyoeui despite various modifications.

편작맥법(扁鵲脈法)에 관한 연구(硏究) (A Study on Bianque's pulse Diagnosis)

  • 방민우;김기욱
    • 대한한의학원전학회지
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    • 제30권3호
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    • pp.143-165
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    • 2017
  • Objectives : The paper seeks to provide a study on Bianque's Pulse Diagnosis in the contexts of Huangdi Neijing's Maijing and Nanjing. Methods : The paper provides a comparison of sentences regarding Bianque's Pulse Diagnosis discovered in Neijing, Maijing, and Nanjing. Results & Conclusions: 1. Bianque's Pulse Diagnosis was given birth through stages in accoradnce with the development of Pyobonjin, Maeggujin, Gyeongmaeghyjin, and Meridian Theory. 2. It seems that Neijing filled in Sambuguhujin and In-yeongbuyangmaegjin because they were not discovered in Canggong's Records of Diagnosis. 3. Bianque's Pulse Diagnosis diagnosed death using Osaegjin. Underneath each sentence within each biography regarding Meridian, there existed Pulse dead Hou. 4. Bianque's Pulse Diagnosis quantified the operation and length of pulse in time. The concept of small net was added which led to the establishment of Fifty circulations, Yeongwi theory, Meridians circulation, and chongu's boundary.

Discriminative Models for Automatic Acquisition of Translation Equivalences

  • Zhang, Chun-Xiang;Li, Sheng;Zhao, Tie-Jun
    • International Journal of Control, Automation, and Systems
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    • 제5권1호
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    • pp.99-103
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    • 2007
  • Translation equivalence is very important for bilingual lexicography, machine translation system and cross-lingual information retrieval. Extraction of equivalences from bilingual sentence pairs belongs to data mining problem. In this paper, discriminative learning methods are employed to filter translation equivalences. Discriminative features including translation literality, phrase alignment probability, and phrase length ratio are used to evaluate equivalences. 1000 equivalences randomly selected are filtered and then evaluated. Experimental results indicate that its precision is 87.8% and recall is 89.8% for support vector machine.

유/무성음 결정에 다른 가변적인 시간축 변환 (Variable Time-Scale Modification with Voiced/Unvoiced Decision)

  • 손단영;김원구;윤대희;차일환
    • 전자공학회논문지B
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    • 제32B권5호
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    • pp.788-797
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    • 1995
  • In this paper, a variable time-scale modification using SOLA(Synchronized OverLap and Add) is proposed, which takes into consideration the different time-scaled characteristics of voiced and unvoiced speech, Generally, voiced speech is subject to higher variations in length during time-scale modification than unvoiced speech, but the conventional method performs time-scale modification at a uniform rate for all speech. For this purpose, voiced and unvoiced speech duration at various talking speeds were statistically analyzed. The sentences were then spoken at rates of 0.7, 1.3, 1.5 and 1.8 times normal speed. A clipping autocorrelation function was applied to each analysis frame to determine voiced and unvoiced speech to obtain respective variation rates. The results were used to perform variable time-scale modification to produce sentences at rates of 0.7, 1.3, 1.5, 1.8 times normal speed. To evaluate performance, a MOS test was conducted to compare the proposed voiced/unvoiced variable time-scale modification and the uniform SOLA method. Results indicate that the proposed method produces sentence quality superior to that of the conventional method.

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비교사 분할 및 병합으로 구한 의사형태소 음성인식 단위의 성능 (Performance of Pseudomorpheme-Based Speech Recognition Units Obtained by Unsupervised Segmentation and Merging)

  • 방정욱;권오욱
    • 말소리와 음성과학
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    • 제6권3호
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    • pp.155-164
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    • 2014
  • This paper proposes a new method to determine the recognition units for large vocabulary continuous speech recognition (LVCSR) in Korean by applying unsupervised segmentation and merging. In the proposed method, a text sentence is segmented into morphemes and position information is added to morphemes. Then submorpheme units are obtained by splitting the morpheme units through the maximization of posterior probability terms. The posterior probability terms are computed from the morpheme frequency distribution, the morpheme length distribution, and the morpheme frequency-of-frequency distribution. Finally, the recognition units are obtained by sequentially merging the submorpheme pair with the highest frequency. Computer experiments are conducted using a Korean LVCSR with a 100k word vocabulary and a trigram language model obtained by a 300 million eojeol (word phrase) corpus. The proposed method is shown to reduce the out-of-vocabulary rate to 1.8% and reduce the syllable error rate relatively by 14.0%.