• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.11a
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• pp.810-813
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• 2004

The task of introducing sounds leads to the realization of a comfortable acoustic environment and the design of good soundscape. This paper aims to rate the preference of environmental sounds suitable to the public spaces such as park, garden, bus terminal, urban street. And aims to search for the methodology how to select the introducing sounds by subjective and objective procedures. Seventeen kinds of introducing sounds were rated by nine adjectives in the presence of visual site informations. Also adequate sound levels were calculated by adjusting the volume of introducing sounds in the presence of the background sounds and visual informations. The results of psycho-acoustic experiments are as follows. 1. Proposal of various introducing sounds were evaluated to be possible at the rather calm natural park. 2. The introducing sounds which have opposite visual image or already existing at the place were evaluated not adequate to the sound circumstances of the place. 3. By the sounds with the same meaning, the identity of the street and the improvement of sound circumstance can be obtained.

• The Korean Publising Journal, Monthly
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• s.80
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• pp.4-5
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• 1991

훈민정음 창제 이전 우리 문자생활의 주요한 도구였던 한자가 우리나라에 언제쯤 도입됐으며, 한자음이 우리말로 토착음화하는 과정으 어떠했는가에 논의의 초점을 두고 있는 이 책은, 고대한자음에 관련된 이제까지의 학계 통설에 대한 가장 본격적인 비판을 담은 성실한 연구성과라는 점에서 특히 주목을 끈다.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.497-503
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• 2011

In this paper, we proposed the MCE as a GMM training method to improve the performance of environmental sounds recognition. We model the environmental sounds data with newly defined misclassification function using the log likelihood of the corresponding class and the log likelihood of the rest classes for discriminative training. The model parameters are estimated with the loss function using GPD(generalized probabilistic descent). For recognition performance comparison, we extracted the 12 degrees features using preprocessing and MFCC(mel-frequency cepstral coefficients) of the 9 kinds of environmental sounds and carry out GMM classification experiments. According to the experimental results, MCE training method showed the best performance by an average of 87.06% with 19 mixtures. This result confirmed us that MCE training method could be effectively used as a GMM training method in environmental sounds recognition.

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.594-602
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• 2023

To date, research on heavy floor impact noise has mainly been conducted. The reason is that in the case of lightweight floor impact noise, sufficient performance could be secured with only the floating floor structure and floor finishing materials. In the case of heavy floor impact noise in a floating floor structure, the reduction performance can be predicted to some extent by measuring the dynamic elasticity of the floor cushioning material. However, with the recent introduction of the post-measurement system, various floor structures are being developed. In particular, many non-floating floor structures that do not use cushioning materials are being developed. In floor structures where cushioning materials are not used, the finishing material will have a significant impact on lightweight floor impact noise. However, research on floor finishing materials is currently lacking. In this study, as a basic research on the development of various floor finishing materials for effective reduction of lightweight floor impact noise, various materials used as floor finishing materials for apartment complexes were selected, the sound insulation performance of lightweight floor impact noise was measured in an actual laboratory, and vibration characteristics were identified through simple experiments. The purpose was to confirm the predictability of light floor impact noise.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.805-808
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• 2008

In this paper, it was performed the analysis on various intersection acoustic patterns for detection rate improvement of accident sound detection system : an acoustic pattern analysis on general traffic noise, an acoustic pattern analysis on engine noise, an acoustic pattern analysis on obstruct factors for accident sound detection system. There are remarkable differences between the acoustic patterns of traffic noise and accident sound, and we most consider the acoustic patterns when we compose the accident traffic detection system by acoustic because there is error range of 20[dB] according to the volume of traffic in intersection.

• The Journal of the Acoustical Society of Korea
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• v.10 no.2
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• pp.5-12
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• 1991

In this paper, we have recognized Korean connected-digits. To reduce the processing time the method of combining VQ one-stage DP is introduced and to reduce the number of reference pattern a new group labelling technique is proposed. Group-labelling is a method to segment and label connected-digit into groups by VQ. As experimental results with 3 connected-digits, the number of reference patterns are reduced in proportion to the number of groups which are labelled.

• Proceedings of the Acoustical Society of Korea Conference
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• 1995.06a
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• pp.211-215
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• 1995

명료하고 자연스러운 한국어 음성을 생성하기 위하여 다중대역 여기신호를 이용한 음성 합성 시스팀을 제안한다. 분석계에서는 켑스트럼 파라미터를 사용하여 유성/무성 판별 스펙트럼을 이용한 유/무성 구간 자동판별법을 제안하고, 현재 단순 임펄스와 백색잡음만으로도 구성된 음원과 간단한 유성/무성 판별로 구동되어지는 합성음의 음질상의 한계를 개선하기 위하여 합성계에서는 음질개선 방안으로 유성음 구동시 다중대역 여기신호를 도입하여 합성시 이용한다. 제안된 방법에 대한 청취실험을 한 결과, 유성음 부분 특히 잡음이 많이 섞여 있는 유성음화 마찰음과 모음의 천이부분 등에서 일반적으로 사용되고 있는 간단한 유성/무성 파라미터를 사용한 합성음에 비하여 다중대역 여기신호를 사용한 합성음의 명료도가 매우 우수함을 확인하였다.

• The Journal of the Acoustical Society of Korea
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• v.30 no.2
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• pp.92-99
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• 2011

In Japan, bang machine has been considered to have problems about not only the impact force and frequency response which are different from the real impact sources such as children's jumping and running, but also damage in the wooden structure housing. Therefore, a new impactor for lower impact force to prevent demage in wooden structure housing was developed. The impact ball was adopted as the second standard impact source in JIS A 1418-2 and ISO 140-11. In the present study, floor impact sounds generated by impact ball with drop heights in four floors of mock-up building of Building Research Institute (BRI) similar to typical Japanese wooden structure housing were investigated and also compared to jumping sound. The results show that Impact ball sound dropped at 10 cm to 30 cm was most similar to jumping sound. And The impact sound levels at 250 and 500 Hz were more sensitive to drop height than other lower frequencies. The error that may occur from the difference of height of 10 cm up and down based on the standard drop height caused by the impact ball operated by human hands was approx. 1 dB or less only in its value of characteristic, but it must be carefully taken into Impact ball in the Korea Standard.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06c
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• pp.161-165
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• 1994

HMM은 좋은 결과를 보이면서 현재 음성 인식 분야에서 널리 사용되는 알고리즘이다. 그러나, 이 HMM의 학습방법인 maimum like-ihood estimation 은 인식률을 극대화하는 모델의 파라메터 값을 생성하지 못하는 단점이 있다. 이러한 문제점을 보와하기 위하여 연결어 인식 알고리즘인 Segmental K-means의 학습과정에 교정 학습법을 도입하여 모델 파라메터 값을 재조정 해 준다. 한국어 연속 숫자음은 영어 연속 숫자음과 달리 연음 현상의 영향을 많이 받는다. Level building 과정에서 연음에 의한 오류를 감소시키기 위해 연음에 의해 발생할 수 있는 단어를 별도의 모델로 추가했다. 이렇게 추가된 단어 모델들에 대한 몇가지 규픽을 인식 결과에 적용하여 출력을 다시 조정한다. 본 시스템은 TMS320C30 프로세서 내장한 DSP 보드와 IBM PC 사엥서 구현되었고, 표준 패턴은 실험실 잡음 환경에서 남성화자 3명을 대상으로 작성하였다. 인식 결과 21종 전화번호 252개 데이터에 대하여 화자 종속으로 92.1% 인식률을 나타내었다.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.15 no.8 s.101
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• pp.980-987
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• 2005

It is very difficult to reduce ambient noise level in the downtown. The best method is to improve the sound amenity of the districts, considering concept of soundscape. This study aims to survey the effect of introducing sound and masking to reduce the background noise level. We carried out the evaluating test for 18 introducing sounds varied S/N ratio(-5, 0, +5) in the city riverside. In these test, subjects evaluated the sound environment with five bipolar adjective scales. It was evaluated that introducing sounds improved the sound environment, and that S/N +5 dB was very appropriate to mask the background noise. But the hearing level was suggested to be S/N 0 dB or less.