• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.353-356
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• 2000

시각장애자들이 음악을 듣고 음악에 대한 공부를 하기 위해서는 점자악보를 통하여서만이 가능하다. 그러나 이러한 점자악보를 만들기 위해서는 점역사를 통한 주문제작 방법 밖에는 없는 실정이다. 국내의 몇 안되는 점역사를 통해서 한곡의 점자악보를 얻기까지는 한달여의 기간과 많은 비용이 든다. 이러한 열악할 환경으로 인하여 시각장애자들이 음악을 공부하거나 전공하기에는 너무나 힘들 실정이다. 본 논문에서는 이러한 시각장애자들이 음악을 접할 수 있고 공부할 수 있도록 시간적, 비용적 측면에서 도움을 주기 위한 점자악보 생성 컴파일러에 대한 구현 내용을 기술한다. 점자악보 생성기는 기존의 컴퓨터에서 음악을 듣기위한 미디 파일을 입력으로 받아들여 점자 편집기에서 점자 변환에 사용되는 아스키 코드로 출력하여 시각장애자가 원하는 곡의 점자악보를 받는데 드는 비용과 시간을 절약할수 있도록 도와준다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.77-90
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• 2014

In the past composers used to make music with classical instruments such as piano, violin, guitar, flute, drums, and other well-known tools. With the advent of digital technology many software programs were developed which allow musicians to compose tunes using personal computers. Many file formats were introduced such as NIFF, SMDL and MIDI but none besides MIDI has been successful. Recently MusicXML has emerged as a de-facto standard for the computer representation of music. This paper presents a brief description of the structure of the MusicXML format and describes the development of a music score editor based on MusicXML. We implemented a MusicXML-based score editing software using C# language and a feasibility test showed the efficiency of our proposed method.

• 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.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.235-242
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• 2010

Differently from instruments which synthesized sounds and tones in the past, voice synthesis engine for music production has reached to the level of creating music as if actual artists were singing. It uses the samples of human voices naturally connected to the different levels of phoneme within the frequency range. Voice synthesis engine is not simply limited to the music production but it is changing cultural paradigm through the second creations of new music type including character music concerts, media productions, albums, and mobile services. Currently, voice synthesis engine technology makes it possible that users input pitch, lyrics, and musical expression parameters through the score editor and they mix and connect voice samples brought from the database to sing. New music types derived from such a development of computer music has sparked a big impact culturally. Accordingly, this paper attempts to examine the specific case studies and the synthesis technologies for users to understand the voice synthesis engine more easily, and it will contribute to their variety of music production.