• Journal of Internet Computing and Services
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• v.16 no.1
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• pp.29-37
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• 2015

In this paper, we propose a robust pre-processing module for camera-based Optical Music Score Recognition (OMR) on mobile device. The captured images likely suffer for recognition from many distortions such as illumination, blur, low resolution, etc. Especially, the complex background music sheets recognition are difficult. Through any symbol recognition system, the staff line height and staff line space are used many times and have a big impact on recognition module. A robust and accurate staff line height and staff line space are essential. Some staff line height and staff line space are proposed for binary image. But in case of complex background music sheet image, the binarization results from common binarization algorithm are not satisfactory. It can cause incorrect staff line height and staff line space estimation. We propose a robust staff line height and staff line space estimation by using run-length encoding technique on edge image. Proposed method is composed of two steps, first step, we conducted the staff line height and staff line space estimation based on edge image using by Sobel operator on image blocks. Each column of edge image is encoded by run-length encoding algorithm Second step, we detect the staff line using by Stable Path algorithm and removal the staff line using by adaptive Line Track Height algorithm which is to track the staff lines positions. The result has shown that robust and accurate estimation is possible even in complex background cases.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.53-63
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• 2015

Singing voice synthesis is the generation of a song using a computer given its lyrics and musical notes. Hidden Markov models (HMM) have been proved to be the models of choice for text to speech synthesis. HMMs have also been used for singing voice synthesis research, however, a huge database is needed for the training of HMMs for singing voice synthesis. And commercially available singing voice synthesis systems which use the piano roll music notation, needs to adopt the easy to read standard music notation which make it suitable for singing learning applications. To overcome this problem, we use a speech database for training context dependent HMMs, to be used for singing voice synthesis. Pitch and duration control methods have been devised to modify the parameters of the HMMs trained on speech, to be used as the synthesis units for the singing voice. This work describes a singing voice synthesis system which uses a MusicXML based music score editor as the front-end interface for entry of the notes and lyrics to be synthesized and a hidden Markov model based text to speech synthesis system as the back-end synthesizer. A perceptual test shows the feasibility of our proposed system.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.11 no.5
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• pp.35-40
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• 1993

• Journal of Korea Game Society
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• v.15 no.2
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• pp.115-122
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• 2015

In this paper we propose a serious game for experience of music performance, which allows users to readily enjoy musical playing, even if the player has little or no experience in playing musical instruments. This game makes it easier for users to correctly perform given melodies along with standard performance, using a score-adjusting algorithm that can cope with the particular errors commonly made by beginners. This music performance is achieved by the agent to interpret the gestural sign of the user. We understands the interaction of the user and the agent as a communication model from the Peircean Semiotic perspectives.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.175-178
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• 2001

실제 피아노 연주 녹음에서 연주된 음표를 검출하는 과정은 녹음된 데이터만으로 원래의 악보를 복원하거나 같은 악보로 연주한 서로 다른 연주를 비교 평가하는데 있어 필수적인 과정이다. 본 논문에서는 피아노 연주 평가프로그램에 적용될 알고리듬 구상의 첫 단계로서 타격 시간을 찾는 알고리듬을 제안하고, 실제의 연주 sample을 이용한 analysis와 기존의 다른 방법과의 비교를 통하여 그 성능과 효용성을 점검하였다 또한, 이 알고리듬을 실제 연주 평가 프로그램에 적용시켜 완성된 프로그램에 대해서도 간략히 소개하였다

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.8-9
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• 2016

본 연구는 Lego Mindstorms NXT 상에서 음악을 재생할 수 있도록 하는 SimMusic language를 정의한다. 재생하고자 하는 악보는 SimMusic language로 작성되고, Lego Mindstorms NXT로 조립된 SimMusic player는 SimMusic 프로그램을 읽고 음악을 재생한다. SimMusic player를 통해 하나의 악보가 재생되는 일련의 과정은 컴퓨터 구조에서 프로그램이 수행되는 과정을 기반으로 구현되었기 때문에, 본 연구는 비전공자도 쉽게 컴퓨터 과학의 기초를 다질 수 있는 계기가 된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.857-860
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• 2017

현재 초보적인 능력을 가진 악기 연주자가 접근할 수 있는 하드웨어, 소프트웨어를 사용해 악기 연주법을 연습할 수 있는 수단은 전무하다. 따라서 본 논문은 악기 연주자가 연습을 하기 위해 사용할 수 있는 음 인식과 악보 정보의 처리, LSTM을 통한 자동 악보 생성의 복합적 기능을 가진 악기 보조 시스템을 제안한다. 또한 본 시스템은 기존의 FFT와 같은 일반적인 Pitch Detection 알고리즘보다 더 우월한 음 인식 성능을 보유한 Autocorrelation 전처리를 거친 LeNet-5 Convolutional Neural Network 모델을 사용하여 음 인식 성능을 높이는 기법을 제안한다. 이 음 인식 모델은 실험 결과 기존의 음 인식 기법보다 최대 약 5.4%의 성능 증가를 이루어냈다.

• KLA journal
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• v.31 no.4 s.263
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• pp.26-34
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• 1990

이 원고는 음악자료(악보, 녹음자료)의 목록 기계화에 관한 일본의 경향을 개관하고 그 문제점을 지적한다. 또한 금후 과제를 국립국회도서관의 요망사항으로서 기술한다.

• 전기의세계
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• v.33 no.12
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• pp.726-734
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• 1984

본고에서는 아직도 연구지향의 성격을 띄고 있는 인공지능로보트의 시각시스템에 관해 기술하였고, 이들의 연구를 바탕으로 하여 needs에 답하는 형식인 응용지향인 산업용로보트의 시각시스템에 관해 언급하였다. 끝으로 필자의 연구실에서 발표한 인쇄악보의 인식에 관해 간단히 소개하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.5
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• pp.959-970
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• 1994

In this thesis, a printed score is read by using handy scanner and the recognition process is excuted in parallel, finally, on Mesh-Connected Computer. What is read is classified into certain patterns and is recognized, based on knowledge. The preprocessing steps are minimized and simple operations are used in the algorithm proposed in this thesis. The score symbols on a printed score can be recognized irrespective of their sizes but their diversity males it difficult to recognize them all, so it is programmed so as to recognize some symbols that is used necessarily and frequently. The recognized result is transformed into the MIDI standard file format. It is required to use a parallel processing system with multiprocessors because the high speed image processing is required. A digitized two-dimensional image is appropriate in processing on the SIMD Mesh-Connected Computer(MCC). Therefore, we explain this architecture and present parallel algorithm using SIMD MCC with n processors that achieves time complexity0(n).