• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.1075-1080
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• 2002

최근 멀티미디어 정보 시스템에서의 음성 핀 시각적 내용의 분류에 관한 연구가 활발히 진행되고 있다. 이에 본 논문에서는 농구 경기의 비디오 데이터로부터 특정 음성 정보를 추출하는 방법과 이를 농구 게임의 중요 이벤트 검출에 이용하는 방법을 제안한다. MFCC 특징들과 LPC 엔트로피의 조합을 이용하여 검출된 관중들의 환호 소리로부터 중요한 이벤트의 위치를 예측할 수 있다. 농구 경기의 다양한 소리들 중에서 관중들의 환호 소리를 분류하여 이를 농구 비디오 데이터에서 중요한 이벤트들을 검출하는데 사용함으로써 매우 효과적 결과를 얻을 수 있었다.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06d
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• pp.40-45
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• 1998

본 논문은 한국산 박새(Parus major)의 소리(song)를 이용해서 태백산맥을 경계로 동서간의 지리적 변이에 관한 논문이다. 박새 소리의 지리적인 변이를 알아보기 위하여 지역간 음절의 시간과 주파수 요인을 비교하고, factor의 군집화의 지역간의 변이정도를 알아보기 위하여 Cluster Analysis와 discriminant Analysis를 실시하였다. 그 결과 태백산맥을 경계로 동쪽지역여과 서쪽지역은 영덕군과 청송군, 삼척시와 태백시를 중심으로 해서 지리적인 변이를 나타냈다.

• Korean Journal of Childcare and Education
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• v.1 no.1
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• pp.59-81
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• 2005

The purpose of this study was to examine how Montessori-education program, one of different early-childhood education programs, was tied into the multiple intelligences of young children and how Montessori education program affected their multiple intelligences. It's basically meant to determine the efficiency of Montessori-education program. The major findings of the study were as follows: First, the Montessori-education program turned out to have a favorable effect on the development of the young children's multiple intelligences. Second, among the subfactors of multiple intelligences, the musical and bodily-kinesthetic intelligences of the preschoolers were little affected by the Montessori-education program, but that had a good impact on their logical-mathematical, spatial, linguistic, interpersonal, intrapersonal, and naturalist intelligences. The above-mentioned findings suggested that Montessori-education program was one of efficient teaching methods to step up the development of young children's multiple intelligences.

• The Journal of the Acoustical Society of Korea
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• v.40 no.2
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• pp.155-160
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• 2021

This paper proposes an automatic method for detecting snore sound, one of the important symptoms of sleep apnea patients. In the proposed method, sound signals generated during sleep are input to detect a sound generation section, and a spectrogram transformed from the detected sound section is applied to a classifier based on a Convolutional Bidirectional Gated Recurrent Unit (CBGRU) with attention mechanism. The applied attention mechanism improved the snoring sound detection performance by extending the CBGRU model to learn discriminative feature representation for the snoring detection. The experimental results show that the proposed snoring detection method improves the accuracy by approximately 3.1 % ~ 5.5 % than existing method.

• Korean Journal of Cognitive Science
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• v.26 no.3
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• pp.301-322
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• 2015

This study examined the effect of emotional sounds on satisfaction of search (SOS). SOS occurs when detection of a target results in a lesser chance of finding subsequent targets when searching for an unknown number of targets. Previous studies have examined factors that may influence the phenomenon, but the effect of emotional sounds is yet to be identified. Therefore, the current study investigated how emotional sound affects magnitude of the SOS effect. In addition, participants' eye movements were recorded to determine the source of SOS errors. The search display included abstract T and L-shaped items on a cloudy background and positive and negative sounds. Results demonstrated that negative sounds produced the largest SOS effect by definition, but this was due to superior accuracy in low-salient single target trials. Response time, which represents efficiency, was consistently faster when negative sounds were provided, in all target conditions. On-target fixation classification revealed scanning error, which occurs because targets are not fixated, as the most prominent type of error. These results imply that the two dimensions of emotion - valence and arousal - interactively affect cognitive performance.

• Journal of Korea Multimedia Society
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• v.9 no.7
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• pp.801-807
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• 2006

This study analyzed the timbral characteristics of Pliri by basis step for the sound synthesis for Piri, Korean traditional musical Instrument. By analyzing this material, we can find out three characteristics about the study of the spectrum analysis for the sound synthesis of Piri. First, compared the timbral characteristics of Piri with Oboe through the spectrum analysis, Second, analyzed the timbral characteristics by the sound occurrence process through the time zone analysis of the attack part of the sound started. Finally, analyzed the special characteristics of the vibrato that is important role of musical instrument performance. As a result, the timbral characteristics of Piri is that the volume of the high harmonics was appeared to be high unlike the general classical instrument and the noise quantity rapidly decreased in the sound attack part but the volume value of harmonics increased. And also vibrato that is performance technique is changed pitch and amplitude at the same time by contrast with the general classical instrument. Thus, the timbral characteristic of Piri by the harmonics and the timbre change by the attack part which is sound occurrence process and the change of the pitch and amplitude in the vibrato is characteristic that represented unique quality of Piri. We expect that this achievement can be applied to sound synthesis.

• Journal of Korea Multimedia Society
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• v.11 no.4
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• pp.471-480
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• 2008

The deaf can not recognize useful sound informations such as alarm, doorbell, siren, car horn, and phone ring etc., because they have the hearing impairment. To solve this problems, portable hearing assistive devices which have suitable environment sound recognition methods are needed. In this paper, the DTW algorithm for sound recognition system with new active slope weighting constraint method was proposed. The environment sound recognition methods consist of three processes. First process is extraction of start point and end point using frequency and amplitude of sound. Second process is extraction of features and third process is classification of features for given segments. As a result of the experiment, the recognition rate of the proposed method is over 90%. And, the recognition rate of the proposed method increased about 20% than the conventional algorithm. Therefore if there are developed portable assistive devices which use developed method to recognize environment sound for hearing-impaired persons, they could be more convenient in life.

• The Journal of the Acoustical Society of Korea
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• v.26 no.4
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• pp.136-143
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• 2007

This experiment was performed to find out the effects of the cicadas' songs on the psychological responses in adolescents. As a basic coulee, the experiment to set up 'Acceptable & Unacceptable' was performed. As a further coulee, five kinds of the cicadas' songs heard frequently were analyzed and adjectives expressing the feeling to cicadas' songs were factor-analyzed, and psychological responses to auditory sensations were analyzed through regression equations. As a result, the effect of the Cryptotympana atrata's song, the Meimuna opalifera's song and the traffic noise are similar in the degree of disturbing the meditation but they are less disturbing than the white noise. The experiment for adjectives expressing was performed, because it is possible that cicadas' songs affect adolescents as a noise. Cicadas' songs can be expressed with three kinds of factors. First factor is [Annoyance], second factor is [Strength] and third factor is [Rhythm]. The first factor dominates in the songs of the Cryptotympana atrata and the Platypleura kaempferi who generate steady sound, and the third factor dominates in the songs of the Meimuna opalifera, the Leptosemia takanonis and the Oncotympana fuscata who generate fluctuating sounds. The loudness of sound didn't affect on the third factor but the emotional values of the fist and the second factors are linearly proportional to the loudness. The analysis results of the first factor associated with noise showed that the annoyance of adolescents is increased in the order of white noise - the Platypleura kaempferi - the Cryptotympana atrata, if the loudness of sounds are generated equally.

• Smart Media Journal
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• v.13 no.6
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• pp.16-23
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• 2024

Pigs express their reactions to their environment and health status through a variety of sounds, such as grunting, coughing, and screaming. Given the significance of pig vocalizations, their study has recently become a vital source of data for livestock industry workers. To facilitate this, we propose a lightweight deep learning model based on MobileNet that analyzes pig vocal patterns to distinguish pig voices from farm noise and differentiate between vocal sounds and coughing. This model was able to accurately identify pig vocalizations amidst a variety of background noises and cough sounds within the pigsty. Test results demonstrated that this model achieved a high accuracy of 98.2%. Based on these results, future research is expected to address issues such as analyzing pig emotions and identifying stress levels.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.768-771
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• 2024

인간의 산업 활동으로 인하여 동물들의 생존이 위협받으면서, 동물의 서식 분포를 효과적으로 파악할 수 있는 자동 야생동물 모니터링 기술의 필요성이 점점 더 커지고 있다. 그중에서도 동물 소리 분류 기술은 시각적으로 식별이 어려운 동물에게도 효과적으로 적용할 수 있는 장점으로 인하여 널리 사용되고 있다. 최근 심층학습 기반의 분류 모델들이 좋은 판별 성능을 보여주고 있어 동물 소리 분류에 많이 사용되고 있지만, 희귀종과 같이 개체 수가 적어 데이터가 부족한 경우에는 학습이 제대로 이루어지지 않을 수 있다. 또한, 이러한 모델들은 모델 내부에서 일어나는 추론 과정을 알 수 없어 결과를 완전히 신뢰하고 사용하는 데 제약이 따른다. 이에 본 논문에서는 전이 학습을 통해 데이터 부족 문제를 고려하고, SHAP을 이용하여 분류 모델의 추론 과정을 해석하는 설명가능한 동물 소리 분류 기법을 제안한다. 실험 결과, 제안하는 기법은 지도 학습을 한 경우보다 분류 성능이 향상됨을 확인하였으며, SHAP 분석을 통해 모델의 분류 근거를 이해할 수 있었다.