• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.27-29
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• 2015

현재 사용되고 있는 화재 통제 시스템은 화재 발생 시 단순한 열감지 센서를 통해 화재를 감지하고 연결된 경종에 신호를 보내 소리를 내어 알리는 방식을 사용하고 있다. 이러한 기계식 시스템은 잦은 고장과 낮은 정확도로 인한 신뢰도 문제뿐만 아니라 화재 발생 시 대피대상자들을 적절하게 유도하지 못하여 막대한 2차 피해가 발생하는 문제를 안고 있다. 본 논문에서는 IT 기술을 바탕으로 효율적이고 체계적으로 화제 통제를 지원하는 통합 시스템을 구현하였다. 이 시스템은 화재 통제의 핵심인 감지, 알림, 유도 기능의 효과를 극대화하도록 상호 연결되고 통합되어 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.303-306
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• 2013

실제공간체감을 극대화하기 위해 실제 물리적인 공간과 가상현실 공간을 융합하는 인터랙티브 아키텍쳐 기반 적응형 혼합현실 기술이 최근 연구되고 있다. 이러한 혼합현실 공간에서 동적인 사용자 위치에 따라 물리공간적 몰입감 증대를 위한 오디오 Sweet Spot 최적화 기술을 연구하였다. 이를 위해 주파수 대역 별 소리의 물리적 감쇠현상을 활용하여 주파수 별 오디오 신호 보상 전처리를 통해 동적인 사용자 위치에 원음과 동일한 음색의 오디오 Sweet Spot이 형성이 가능한지 실험한 결과 주파수 별 감쇠의 차이를 보정함으로써 원음 그대로의 음색이 재현될 수 있다는 것을 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.279-282
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• 2022

컴퓨터가 마이크 등의 소리 센서를 통해 얻은 음향학적 신호를 단어나 문장으로 변환시키는 기술인 음성 인식 기술과 인공지능 기술을 결합한 음성 대화 시스템에 대한 연구 진행 및 제품 출시가 활발하게 이루어지고 있다. 기존의 시스템을 사용하면서 날짜와 시간 외의 정보 추출 정도가 빈약하거나 자동 등록이 되지 않는 문제점을 확인하였다. 음성 인식 기술을 통해 얻은 텍스트에서 보다 많은 정보를 추출하고, 자동 등록 및 알림과 맛집 등 추가 정보 제공 시스템을 구축하는 것을 목표로 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.83-86
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• 2011

본 논문에서는 잠을 자주 깨는 아기를 키우는 부모의 어려움을 덜어주기 위한 IT 융합 시스템을 제안한다. 제안된 시스템은 필요 시 요람을 자동으로 움직여주는 기능 및 아기의 상태, 대소변 유무를 스마트폰을 통해 원격으로 전송해 주는 기능을 포함하고 있다. 제안된 시스템의 요람 내부에 설치된 소음센서가 아기 울음 소리를 인식하면, 그 신호가 중앙 제어 부로 보내지고 요람이 적당한 강도로 움직이기 시작한다. 동시에 낙수음(落水音)을 아기에게 들려줌으로써 엄마 뱃속에 있을 때와 같은 편안함을 준다. 또한, 요람에 장착된 태블릿 카메라를 통해 원격으로 아기의 현재 상태를 확인 할 수 있다. 이러한 시스템은 부모가 아기를 요람에 두고서도 스마트폰을 통해 아기의 상태를 항시 체크하면서 다른 일을 할 수 있도록 하여 생산성을 높이는 효과도 있을 것으로 기대된다.

• The Journal of the Acoustical Society of Korea
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• v.16 no.4
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• pp.94-100
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• 1997

In order to investigate the radiation of sound from the King Song-Duk bell, we measured the sound pressure around the bell at every 30$^{\circ}$ using a microphone line array which was composed of 30 microphones separated by 15cm;total number of measurement point was 360. The sound field was estimated by using cylindrical acoustic holography. The spectrum of measured sound pressure demonstrates that it is almost like white noise in the very beginning, but in 10 seconds two close frequency components(64.06Hz, 64.38Hz) remain and make a famous beating. This beating sound is often believed to make unique sound of the King Song-Duk bell. The mode shapes of that frequency components are the same except that one is rotated by 45$^{\circ}$ from the other. This phenomenon occurs at the other pairs of components are the same except ones in very high frequency range where the mode shapes are rather complex.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.1
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• pp.71-78
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• 2009

Sound source localization systems in service robot applications estimate the direction of a human voice. Time delay information obtained from a few separate microphones is widely used for the estimation of the sound direction. Correlation is computed in order to calculate the time delay between two signals. In addition, PHAT weighting function can be applied to significantly improve the accuracy of the estimation. However, FFT and IFFT operations in the PHAT weighting function occupy more than half of the area of the sound source localization system. Thus efficient FFT and IFFT designs are essential for the IP implementation of sound source localization system. In this paper, we propose an efficient FFT/IFFT design method based on the characteristics of human voice.

• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.187-194
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• 2013

The final aim of the present study is to build a system of converting a color image into musical elements based on a synesthetic perception, emulating human synesthetic skills, which make it possible to associate a color image with a specific sound. This can be done on the basis of the similarities between physical frequency information of both light and sound. As a first step, an input true color image is converted into hue, saturation, and intensity domains based on a color model conversion theory. In the next step, musical elements including note, octave, loudness, and duration are extracted from each domain of the HSI color model. A fundamental frequency (F0) is then extracted from both hue and intensity histograms. The loudness and duration are extracted from both intensity and saturation histograms, respectively. In experiments, the proposed system on the conversion of a color image into musical elements was implemented using standard C and Microsoft Visual C++(ver. 6.0). Through the proposed system, the extracted musical elements were synthesized to finally generate a sound source in a WAV file format. The simulation results revealed that the musical elements, which were extracted from an input RGB color image, reflected in its output sound signals.

• The Journal of the Acoustical Society of Korea
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• v.20 no.3
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• pp.98-103
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• 2001

The binaural auditory system of human has the capability of differentiating the direction and distance of sound sources. This feature is well characterised in terms of the inter-aural intensity difference (IID), the inter-aural time difference (ITD) and/or the spectral shape difference (SSD) arising from the acoustic transfer of a sound source to the outer ears. This paper proposes an effective way of extracting the three sound perception factors (IID, ITD, SSD) from the head-related transfer functions (HRTF's) that depends on the direction and distance of the acoustic source from the listener. It includes the estimation method of the equivalent ITD and 1/3-octave band-based IID factors and their usage to locate a sound source in space. Subjective and objective tests were carried out to examine the effectiveness of the proposed methodology and its applicability to real sound systems. Those experimental results are illustrated in this paper.

• Journal of Sensor Science and Technology
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• v.11 no.3
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• pp.171-182
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• 2002

The differential electromagnetic transducer for IME(implantable middle ear) system, which have two small permanent magnets glued with the same pole facing each other in the coil, has high vibration efficiency and does not influenced by external magnetic field. In this paper, using finite element method, highly efficient structure of the transducer was proposed and vibration force of the transducer was calculated by electromagnetic theory. And the necessary vibration force of transducer to transmit the sound signal to inner ear when the transducer is attached at stapes was calculated and the design parameters of the transducer were investigated. Using the parameters, the differential electromagnetic transducer was manufactured in small size to implant in confined human middle ear. And it was examined by unloaded and loaded vibration experiment using temporal bone sampled from cadaver.

• The Journal of the Acoustical Society of Korea
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• v.38 no.1
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• pp.39-46
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• 2019

In this paper, combining features is proposed as a way to enhance the classification accuracy of sounds under noisy environments using the CNN (Convolutional Neural Network) structure. A robust log Mel-filter bank using Wiener filter and PNCCs (Power Normalized Cepstral Coefficients) are extracted to form a 2-dimensional feature that is used as input to the CNN structure. An ebird database is used to classify 43 types of bird species in their natural environment. To evaluate the performance of the combined features under noisy environments, the database is augmented with 3 types of noise under 4 different SNRs (Signal to Noise Ratios) (20 dB, 10 dB, 5 dB, 0 dB). The combined feature is compared to the log Mel-filter bank with and without incorporating the Wiener filter and the PNCCs. The combined feature is shown to outperform the other mentioned features under clean environments with a 1.34 % increase in overall average accuracy. Additionally, the accuracy under noisy environments at the 4 SNR levels is increased by 1.06 % and 0.65 % for shop and schoolyard noise backgrounds, respectively.