• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2005년도 춘계학술대회 논문집
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• pp.342-348
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• 2005

This study was carried out fusion-welded butt joints in SWS 490A high strength steel subjected to tensile test that load-deflection curve. The windowed or short-time Fourier transform (WFT or SIFT) makes possible for the analysis of non-stationary or transient signals into a joint time-frequency domain and the wavelet transform (WT) is used to decompose the acoustic emission (AE) signal into various discrete series of sequences over different frequency bands. In this paper, for acoustic emission signal analysis to use a continuous wavelet transform, in which the Gabor wavelet base on a Gaussian window function is applied to the time-frequency domain. A wavelet transform is demonstrated and the plots are very powerful in the recognition of the acoustic emission features. As a result, the technique of acoustic emission is ideally suited to study variables which control time and stress dependent fracture or damage process in metallic materials.

• The Journal of the Acoustical Society of Korea
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• 제26권3E호
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• pp.104-110
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• 2007

As the exploration of the seabed is extended ever further, automated recognition and classification of sonar images become increasingly important. However, most of the methods ignore the directional information and its effect on the image textures produced. To deal with this problem, we apply 2D Gabor filters to extract the features of sonar images. The filters are designed with constrained parameters to reduce the complexity and to improve the calculation efficiency. Meanwhile, at each orientation, the optimal Gabor filter parameters will be selected with the help of bandwidth parameters based on the Fisher criterion. This method can overcome some disadvantages of the traditional approaches of extracting texture features, and improve the recognition rate effectively.

• 음성과학
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• 제14권1호
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• pp.93-103
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• 2007

The aims of this study were to examine the acoustic features of Korean and Japanese vowels, and to determine whether new phones that do not have counterparts in Japanese or similar phones that have counterparts improve more from learning. This study consisted of three parts. In Experiment I, a speech production test was performed to observe the acoustic features of Korean and Japanese vowels. In Experiment II, the speech production of Korean vowels produced by Koreans, advanced Japanese learners of Korean, and beginning Japanese learners of Korean was investigated. In Experiment III, a speech perception study of Korean vowels produced by the two Japanese learner groups was conducted to observe the effect of learning on acquiring L2 phones. The conclusion drawn from the study was that the similar phones produced by Japanese show more similarity with those of Koreans than new phones in terms of F1 and F2, but Japanese learners of Korean displayed more improvement in new phones from learning.

• 한국정보통신학회논문지
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• 제3권2호
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• pp.389-396
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• 1999

본 연구에서는 수중에서 진행하는 물체에서 전달되는 방사신호의 주파수스펙트럼으로부터 추출되는 토널과 주파수선과 같은 협대역 특징을 이용하여 미지의 다중 수중 이동물체를 효율적으로 판별하고 추적하기 위한 알고리즘을 제시한다. 제안한 알고리즘은 계층 구조의 신경망으로 구성된다. 조향 방위각에 대한 광대역에너지와 방위별 협대역 에너지를 검출하여 미지의 수중이동물체의 출현 방위각을 추정하고 이를 토대로 물체를 추적하는 기존의 기법으로는 물체들이 서로 인접하거나 교차하는 경우에 추적에 실패할 가능성이 높다. 그러나 제안한 알고리즘을 사용하여 실제 신호를 포함하는 시뮬레이션 시나리오에 대해 물체 추적 실험을 행한 결과, 특히 인접하거나 교차하는 물체들의 추적에 성공적인 성능을 나타내었다.

• 음성과학
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• 제13권2호
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• pp.19-33
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• 2006

The purpose of this paper was to examine acoustical characteristics of phonatory offset-onset mechanism in the connected speech of female adults with stuttering and normal nonfluency. The phonatory offset-onset mechanism refers to the laryngeal articulatory gestures. Those gestures are required to mark word boundaries in phonetic contexts of the connected speech. This mechanism included 7 patterns based on the speech spectrogram. This study showed the acoustic features in the connected speech in the production of female adults with stuttering (n=1) and normal nonfluency (n=3). Speech tokens in V_V, V_H, and V_S contexts were selected for the analysis. Speech samples were recorded by Sound Forge, and the spectrographic analysis was conducted using Praat. Results revealed a stuttering (with a type of block) female exhibited more laryngealization gestures in the V_V context. Laryngealization gesture was more characterized by a complete glottal stop or glottal fry both in V_H and in V_S contexts. The results were discussed from theoretical and clinical perspectives.

• The Journal of the Acoustical Society of Korea
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• 제18권2E호
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• pp.39-44
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• 1999

In passive sonar, underwater moving objects are identified by the acoustic sounds they transmit. The spectrum of these sounds show features about the mechanism of the sound source, these features are discrete frequencies on the spectrum and frequency lines on the spectrogram. Variability in the underwater environment produce discontinuous broken or unstable fluctuating frequency lines. In this paper, we propose an efficient algorithm that estimate continuities of the discontinuous frequency lines and extract presence of the unstable frequency lines using neural networks and represent the proposed algorithm shows good performance in estimation and extraction the unstable frequency lines through the experiments.

• ETRI Journal
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• 제30권5호
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• pp.753-755
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• 2008

In this letter, we propose a new histogram equalization technique for feature compensation in speech recognition under noisy environments. The proposed approach combines a signal-to-noise-ratio-dependent feature reconstruction method and the class histogram equalization technique to effectively reduce the acoustic mismatch present in noisy speech features. Experimental results from the Aurora 2 task confirm the superiority of the proposed approach for acoustic feature compensation.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2004년도 추계학술대회 논문집
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• pp.335-341
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• 2004

According to the improvements of the education and the cultural level, the noise pollutions which have been occupying a major portion of civil petitions about environment is gradually aggravating. Especially, the plumbing noises which took place at machine room of dormitory are the compositive shapes of an air-borne sounds and a solid-borne sounds. So it has been causing to injure the comfortable residential environment of residents that it is propagated in a residential space. Judging from this point of view, this study grasped the propagation and the properties of attenuation about four varieties's plumbing noise which took place at machine room to understand that it cause influences to a residential space. In this point, we understand the peculiar features by measuring noise, which was generated from equipment in machine rooms of three dormitories having different features. On the basis of these features, we examine all predictability and reliability in comparing the predictive value with the measurable one, using architectural acoustic simulation.

• 한국음향학회지
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• 제40권4호
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• pp.337-346
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• 2021

일반적으로 비정상 신호 탐지 연구에서는 데이터 불균형으로 인해 정상 신호 특징을 주된 정보로 사용한다. 본 논문에서는 비정상 신호의 특징을 학습하는 병렬 오토인코더를 이용한 효율적인 비정상 신호 탐지기법을 제안한다. 제안된 동일한 구조로 이루어진 병렬 오토인코더는 정상 신호와 비정상 신호에 대한 특징을 학습하는 정상 복원기와 비정상 복원기로 구성되며, 정상 및 비정상 데이터를 순차적으로 학습함으로써 불균형 데이터 문제를 효율적으로 해결할 수 있다. 뿐만 아니라 보다 높은 탐지성능 향상을 위해서 부가적인 이진 분류기가 추가될 수 있다. 공개된 음향데이터를 이용한 실험결과, 제안된 병렬 탐지모델의 학습시간이 단일 오토인코더 탐지모델과 비교하여 약 1.31 ~ 1.61배 늘어나지만, 최소 22 % 이상의 Area Under Curve(AUC) 향상을 보였다. 또한, 사전에 훈련된 병렬 오토인코더를 이용하여 수중 음향데이터를 전이학습한 결과 수중 비정상 신호 AUC 탐지성능을 93 % 이상 향상시킬 수 있음을 확인하였다.

• 한국음향학회지
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• 제33권4호
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• pp.248-254
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• 2014

음향 상황 인지(acoustic context awareness)는 다양하게 발생되는 음원들로부터 어떠한 장소인지 또는 어떠한 사건이 발생하는지를 판단하는 기술로 음향 이벤트 검출 또는 인식 보다 한 단계 더 복잡한 문제이다. 기존의 상황인지 기술은 음향 이벤트 검출 또는 인식 기술에 기반하여 현재 상황을 인지하는 방법을 사용하고 있다. 하지만 이와 같은 접근 방법은 여러 음원이 동시에 발생하거나 유사한 음원이 발생하는 실제 환경에서 정확한 상황 판단이 어렵다. 특히 버스와 지하철은 승객들에 의한 잡음으로 상황을 인지하기 힘들다. 이러한 문제를 극복하기 위해 본 논문에서는 유사한 음향 이벤트가 발생하는 버스와 지하철 상황을 인식할 수 있는 Bag of Words 기반의 상황 인지 알고리즘을 연구하고 코드북 생성을 위한 특징벡터를 제안한다. 제안하는 특징벡터의 효용성은 Support Vector Machine을 이용한 실험을 통해 검증했다.