• Title/Summary/Keyword: Continuous Speech

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A Study on PLU (Phone-Likely Unit) for Korean Continuous Speech Recognition (강건한 한국어 연속음성인식을 위한 유사음소단일에 대한 연구)

  • Seo Jun-Bae;Kim Joo-Gon;Kim Min-Jung;Jung Ho-Youl;Chung Hyun-Yeol
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.37-40
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    • 2004
  • 본 논문은 한국어 연속음성인식에 효율적인 문맥의존 음향모델 수에 대한 연구로써 유사음소단위 수에 따른 인식 성능을 비교, 평가하였다. 기존에 본연구실에서는 48음소를 기본인식단위로 이용하고 있으나 연속음성인식의 경우 문맥종속모델이 사용되고 문맥종속모델은 변이 음을 고려한 음소가 이미 포함되어 있어 이를 고려하면 기본 음소를 줄이므로서 계산량의 감소와 인식 성능 향상을 기대할 수 있을 것으로 생각된다. 따라서 , 본 논문에서는 기존의 48음소와 이를 39음소로 줄여 인식실험에 사용하여 그 성능을 비교 평가하기로 하였다. 이를 위하여 다양한 태스크의 데이터베이스를 통합하여 부족한 문맥요소들을 확장한 후 인식실험을 수행하였다. 실험결과 변이음의 개수를 줄이면서도 인식 성능저하가 없음을 확인할 수 있었으며 연속 음성의 경우 39음소를 이용한 경우가 $10\%$정도의 향상된 인식성능을 얻을 수 있음을 확인할 수 있었다.

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The Comparison of OC1 and CART for Prosodic Boundary Index Prediction (운율 경계강도 예측을 위한 OC1의 적용 및 CART와의 비교)

  • 임동식;김진영;김선미
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.4
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    • pp.60-64
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    • 1999
  • In this paper, we apply CART(Classification And Regression tree) and OC1(Oblique Classifier1) which methods are widely used for continuous speech recognition and synthesis. We prediet prosodic boundary index by applying CART and OC1, which combine right depth of tree-structured method and To_Right of link grammar method with tri_gram model. We assigned four prosodic boundary index level from 0 to 3. Experimental results show that OC1 method is superior to CART method. In other words, in spite of OC1's having fewer nodes than CART, it can make more improved prediction than CART.

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The syllable recovery rule-base system for the post-processing of a continuous speech recognition (연속음성인식 후처리를 위한 음절 복원 rule-base시스템)

  • Park, Mi-Seong;Kim, Mi-Jin;Lee, Mun-Hui;Choi, Jae-Hyeok;Lee, Sang-Jo
    • Annual Conference on Human and Language Technology
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    • 1998.10c
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    • pp.379-385
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    • 1998
  • 한국어가 연속적으로 발음될 때 여러 가지 음운 변동현상이 일어난다. 이것은 한국어 연속음성 인식을 어렵게 하는 주요 요인 중의 한가지이다. 본 논문은 음운변동현상이 반영된 음성 인식 문자열을 규칙에 의거하여 text 기반 문자열로 다시 복원시키고 복원 결과 후보들을 형태소 분석하여 유용한 문자열만을 최종 결과로 생성하게 하는 시스템을 구성하였다. 복원은 4가지 rule 즉, 음절 경계 종성 초성 복원 rule, 모음처리 복원 rule, 끝음절 중성 복원 rule, 한 음절처리 rule에 따라 이루어진다. 규칙 적용 과정중에 효과적인 복원을 위해 x-clustering정보를 정의 하여 사용하고, 형태소 분석기에 입력될 복원 후보수를 제한하기 위해 postfix음절 빈도정보를 구하여 사용한다.

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Korean Spacing System for Continuous Speech Characters (연속 음성 문자열에 대한 한국어 띄어쓰기 시스템)

  • Kim, Kye-Sung;Lee, Hyun-Ju;Kim, Sung-Kyu;Choi, Jae-Hyuk;Lee, Sang-Jo
    • Annual Conference on Human and Language Technology
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    • 1998.10c
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    • pp.391-395
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    • 1998
  • 대용량의 연속된 음성을 인식하는 데에는 형태소 사이의 음운변동과 언절과 어절 사이의 불일치 등으로 인한 어려움이 따른다. 그러므로 언어학적인 지식을 이용한 자연어 처리 기술과의 결합이 필수적이라 할 수 있다. 본 논문에서는 문장 단위의 연속 음성 문자열을 올바른 어절로 띄어주는 시스템을 제안한다. 먼저 띄어쓰기 발음열 사전을 이용하여 어절의 경계를 추정한다. 이 때 보다 정확한 띄어쓰기 위치를 추정하기 위하여 2음절 이상의 최장 조사 어미와 음절 분리가능빈도가 이용된다. 이렇게 해서 분리된 어절들은 음절 복원기를 거친 뒤, 형태소 분석을 행하여 올바른 어절인지를 검사한다. 분석에 실패한 어절은 띄어쓰기 오류 유형에 따라 교정을 한 후 형태소 분석을 재시도한다. 제안한 시스템을 테스트해 본 결과 96.8%의 정확도를 보였다. 본 시스템은 음운 변동 처리기와 함께 말소리를 음성 그대로 인식하는 인식기의 후처리로 이용할 수 있을 것이다.

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Low Pass Filter Design using CMOS Floating Resister (CMOS Floating 저항을 이용한 저역통과 필터의 설계)

  • 이영훈
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.2
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    • pp.77-84
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    • 1998
  • The continuous time signal system by development of CMOS technology have been receiving consideration attention. In this paper, Low pass filter using CMOS floating resistor have been designed with cut off frequency for speech signal processing. Especially a new floating resistor consisting entirely of CMOS devices in saturation has been developed. Linearity within $\pm$0.04% is achieved through nonlineartiy via current mirrors over an applied range of $\pm$1V. The frequency response exceeds 10MHz, and the resistors are expected to be useful in implementing integrated circuit active RC filters. The low pass filter designed using this method has simpler structure than switched capacitor filter. So reduce the chip area. The characteristics of the designed low pass filter using this method are simulated by pspice program.

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TREATMENT OUTCOME OF MANDIBULAR CONDYLAR FRACTURE WITH ARTHROCENTESIS AND LAVAGE (하악과두골절시 Arthrocentesis와 Lavage를 이용한 치험에 관한 연구)

  • Yoon, Ok-Byung
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.28 no.4
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    • pp.286-289
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    • 2002
  • In the treatment of mandibular condylar fractures, arthrocentesis, lavage and selective intermaxillary fixation were performed after closed reduction. In this lavage group, the physiotherapy performed for 3-6 months after injury. in control group, continuous intermaxillary fixation was done for 1-3 weeks, and physiotherapy followed in the same method of the lavage group. In the comparative study of the both groups, the following results are shown. 1. Compared to control group, the lavage group had a slightly superior result at range of motion, joint pain and occlusal deviation, from I day after arthrocentesis to 6 months after injury. 2. The significant differences between both groups were seen at range of motion and joint pain in 1 month after injury. 3. At 6 months after injury, the differences between both groups were not significant at range of motion, joint pain and occlusal deviation. From this study, in the mandibular condylar fracture, the arthrosentesis, lavage and selective intermaxillary fixation after closed reduction can improve symptoms such as joint pain and occlusal deviation, also increase range of motion. in this therapeutic way, intracapsular hemarthrosis which can cause TMJ ankylosis or dysfunction can be removed effectively. in addition, patient's discomfort such as swallowing disturbance, speech disturbance and emotional stress can be reduced signuficantly.

An adaptive time-delay recurrent neural network for temporal learning and prediction (시계열패턴의 학습과 예측을 위한 적응 시간지연 회귀 신경회로망)

  • 김성식
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.2
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    • pp.534-540
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    • 1996
  • This paper presents an Adaptive Time-Delay Recurrent Neural Network (ATRN) for learning and recognition of temporal correlations of temporal patterns. The ATRN employs adaptive time-delays and recurrent connections, which are inspired from neurobiology. In the ATRN, the adaptive time-delays make the ATRN choose the optimal values of time-delays for the temporal location of the important information in the input parrerns, and the recurrent connections enable the network to encode and integrate temporal information of sequences which have arbitrary interval time and arbitrary length of temporal context. The ATRN described in this paper, ATNN proposed by Lin, and TDNN introduced by Waibel were simulated and applied to the chaotic time series preditcion of Mackey-Glass delay-differential equation. The simulation results show that the normalized mean square error (NMSE) of ATRN is 0.0026, while the NMSE values of ATNN and TDNN are 0.014, 0.0117, respectively, and in temporal learning, employing recurrent links in the network is more effective than putting multiple time-delays into the neurons. The best performance is attained bythe ATRN. This ATRN will be sell applicable for temporally continuous domains, such as speech recognition, moving object recognition, motor control, and time-series prediction.

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Long-term Orthodontic Treatment and Phonetic Assessment of a Congenital Cleft Lip and Palate Patient (선청성 구순구개열 환자의 장기적인 교정 치료 및 음성언어학적 고찰)

  • Hong, Ji-Suk;Kim, Yoon-Ji;Hwang, Yong-In;Kim, Dae-Sung;Park, Yang-Ho
    • Korean Journal of Cleft Lip And Palate
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    • v.12 no.1
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    • pp.7-20
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    • 2009
  • Orthodontic treatment planning of cleft lip and palate requires consideration of the characteristic features, growth pattern and functional disorders related to cleft lip and palate patients. Tissue deficiencies and constriction of the scar tissue in surgically treated cleft lip and palate results in disturbance of maxillary growth and deficiency of midfacial region with anterior and posterior crossbite. These patients often present congenital missing of teeth, supernumerary teeth, malformed teeth, or ectopic position of teeth, which should be treated by orthodontic treatment by expanding upper arch followed by fixed appliance. Proper use of retainer and continuous follow-up is needed to prevent relapse after orthodontic treatment has finished. Also we have to pay attention to correct speech disorder which is caused by the velopharyngeal insufficiency.

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A Case of Subdural Hematoma after Epidural Blood Patch in a Spontaneous Intracranial Hypotensive Patient - A case report - (자발성 두개강내 저혈압성 두통 환자에서 치료 도중 발생한 경막하혈종 - 증례보고 -)

  • Kim, Yeui Seok;Han, Kyung Ream;Kim, Chan
    • The Korean Journal of Pain
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    • v.20 no.2
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    • pp.235-239
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    • 2007
  • Spontaneous intracranial hypotension (SIH) is believed to be a benign disease. However, numerous studies have reported serious complications related to SIH, including subdural hematoma. In this case report, a 54-year-old male patient visited the emergency room with orthostatic headache. A brain magnetic resonance imaging (MRI) study showed diffuse mild thickening and enhancement of pachymeninges, with a suspicious minimal amount of subdural fluid collected in the left posterior parietal area. His orthostatic headache showed no improvement with conservative treatment; but his pain was almost completely relieved after two trials of cervical epidural blood patch. On the 74th day after the onset of his pain, the patient showed a drowsy mental status and slurred speech when he visited the pain clinic. Brain computerized tomography indicated a left subdural hemorrhage, and he underwent emergency operation to drain the SDH. In conclusion, pain clinicians should pay attention to abrupt changes in mental status as well as continuous headache, for the early diagnosis of SDH in SIH patients.

Speech Recognition Using Noise Robust Features and Spectral Subtraction (잡음에 강한 특징 벡터 및 스펙트럼 차감법을 이용한 음성 인식)

  • Shin, Won-Ho;Yang, Tae-Young;Kim, Weon-Goo;Youn, Dae-Hee;Seo, Young-Joo
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.5
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    • pp.38-43
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    • 1996
  • This paper compares the recognition performances of feature vectors known to be robust to the environmental noise. And, the speech subtraction technique is combined with the noise robust feature to get more performance enhancement. The experiments using SMC(Short time Modified Coherence) analysis, root cepstral analysis, LDA(Linear Discriminant Analysis), PLP(Perceptual Linear Prediction), RASTA(RelAtive SpecTrAl) processing are carried out. An isolated word recognition system is composed using semi-continuous HMM. Noisy environment experiments usign two types of noises:exhibition hall, computer room are carried out at 0, 10, 20dB SNRs. The experimental result shows that SMC and root based mel cepstrum(root_mel cepstrum) show 9.86% and 12.68% recognition enhancement at 10dB in compare to the LPCC(Linear Prediction Cepstral Coefficient). And when combined with spectral subtraction, mel cepstrum and root_mel cepstrum show 16.7% and 8.4% enhanced recognition rate of 94.91% and 94.28% at 10dB.

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