• Title/Summary/Keyword: 컴퓨터음악

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Applying Interactive Media Art to VJing (V제잉에서 인터랙티브미디어아트 활용)

  • Kim, Yun-Tae
    • The Journal of the Korea Contents Association
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    • v.7 no.10
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    • pp.80-88
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    • 2007
  • Applying Visual Art to pop music performance is gradually increasing. A video editor which simply mixes a number of images was mainly used in the past, but now various computer software make it easy to control visual art by development of computer technology, and it became possible for you to express unique and inimitable idea as well. Compare that a complicated equipment which makes them spend much expense and time was only used in the big size of concert hall in early days, a small and simple one now helps you easily apply your idea to Visual art in Pop music performance even in the small club. The technic of Visual art is being developed gradually especially by using computer The point of this study is how to apply real-time interaction between sound and visual image to interactive media art.

The Design and the Implementation of the Integrated Music Manufacturing and Searching Solution based on the Midi Analysis Engine (미디(Midi) 분석엔진 기반의 통합 음악제작/검색 솔루션 설계 및 구현)

  • You, Si-Heok;Lee, Dong-Kyu;Kim, Dong-Young;You, Mi-Young;Lee, Hyang-Mi;Bae, Ji-Hye
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.306-309
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    • 2011
  • 컴퓨터의 발전과 함께 음악 프로그램을 이용한 작곡 작업은 전문가부터 일반인에게 이르기까지 사용자의 폭을 넓혀왔다. 본 연구에서는 이러한 작곡 작업을 보다 효과적으로 하기 위하여 다양한 방안을 모색하였다. 단순한 텍스트 기반의 음악 검색이 아닌 미디(Midi) 분석엔진 기반의 다양한 검색방법을 설계하였으며 이를 기반으로 통합 음악제작/검색 솔루션을 구현하였다. 또한, 휴대성(Portability)을 위하여 MS 사의 WindowsPhone7 플랫폼 기반의 어플리케이션 구현을 통해 PC기반의 프로그램을 모바일 환경에서 작동 및 사용할 수 있도록 구현하였다.

Analysis and Implementation of Speech/Music Classification for 3GPP2 SMV Codec Employing SVM Based on Discriminative Weight Training (SMV코덱의 음성/음악 분류 성능 향상을 위한 최적화된 가중치를 적용한 입력벡터 기반의 SVM 구현)

  • Kim, Sang-Kyun;Chang, Joon-Hyuk;Cho, Ki-Ho;Kim, Nam-Soo
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.5
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    • pp.471-476
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    • 2009
  • In this paper, we apply a discriminative weight training to a support vector machine (SVM) based speech/music classification for the selectable mode vocoder (SMV) of 3GPP2. In our approach, the speech/music decision rule is expressed as the SVM discriminant function by incorporating optimally weighted features of the SMV based on a minimum classification error (MCE) method which is different from the previous work in that different weights are assigned to each the feature of SMV. The performance of the proposed approach is evaluated under various conditions and yields better results compared with the conventional scheme in the SVM.

Development of User Music Recognition System For Online Music Management Service (온라인 음악 관리 서비스를 위한 사용자 음원 인식 시스템 개발)

  • Sung, Bo-Kyung;Ko, Il-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.91-99
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    • 2010
  • Recently, recognizing user resource for personalized service has been needed in digital content service fields. Especially, to analyze user taste, recommend music and service music related information need recognition of user music file in case of online music service. Music related information service is offered through recognizing user music based on tag information. Recognition error has grown by weak points like changing and removing of tag information. Techniques of content based user music recognition with music signal itself are researched for solving upper problems. In this paper, we propose user music recognition on the internet by extracted feature from music signal. Features are extracted after suitable preprocessing for structure of content based user music recognition. Recognizing on music server consist of feature form are progressed with extracted feature. Through this, user music can be recognized independently of tag data. 600 music was collected and converted to each 5 music qualities for proving of proposed recognition. Converted 3000 experiment music on this method is used for recognition experiment on music server including 300,000 music. Average of recognition ratio was 85%. Weak points of tag based music recognition were overcome through proposed content based music recognition. Recognition performance of proposed method show a possibility that can be adapt to online music service in practice.

The Conducting Motion Recognizing System Using Acceleration Sensors for the Virtual Orchestra (가속도 센서를 이용한 지휘 동작 인식 시스템)

  • Son, Dong-Kwan;Lee, Hui-Sung;Noh, Young-Hae;Wohn, Kwang-Yun;Goo, Bon-Cheol
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.124-129
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    • 2006
  • 음악은 소리를 즐긴다는 뜻을 담고 있다. 감상자에게 단순한 청각적 자극을 넘어 즐거움을 주기 위해선 음악적인 경험이 뒷받침되어야 한다. 가상 현실을 이용한 사용자와 시스템 간의 상호작용을 음악 경험 제공에 접목하려는 시도는, 새로운 경험을 통해 일반인들이 보다 쉽게 음악을 접하고 체험함으로써 음악을 통해 즐거움을 얻을 수 있도록 도움을 주는 데에 그 목적이 있다. 가상 오케스트라를 구현하고 지휘 동작을 재현하는 것은 이러한 가능성을 극대화하는 연구이다. 본 논문에서는 가상 오케스트라를 구현하기 위해 필수적인 중간 단계로, 사용자의 지휘 동작을 감지하여 연주의 박자(속도)를 제어하는 지휘 시뮬레이션 시스템을 제시한다. 실제의 지휘 동작을 분석하고, 동작의 변화를 인식하기 위하여 가속도 센서를 이용, 공간상에서 지휘봉의 움직임을 가속도 정보로 수집하여 이에 상응하는 박자의 제어를 구현한다. 사용자의 박자 명시에 따라 변화하는 상하 방향의 가속도를 센서를 통해 전압 신호로 입력 받고, DSP 의 A/D conversion 모듈에서 디지털 신호로 변환, 일정 수준 이상의 신호를 박자 정보로 직렬통신을 통해 컴퓨터에 전달한다. 컴퓨터에서는 Max/MSP를 이용하여 각 박자 사이의 시간 간격을 측정하고 상응하는 MIDI 음악을 재생하는 방식으로 시스템이 구현된다. 기존 연구에서 사용된 CCD 카메라에 의한 Motion Tracking 을 보완하여 동작의 크기에 따라 음량을 조절한다. 본 논문에서 제시되는 시스템은 지휘 동작에서 가장 특징적으로 나타나는 상하 방향의 급격한 가속도 변화를 직접 입력 받기 때문에 기존 시스템에 비해 지휘 동작의 인식 성공률을 높일 수 있으며, 화상 처리 및 계산에 의한 지연을 최소화할 수 있다. 또한, 장치의 규모를 소형화하여 보다 지휘봉의 형태에 가까운 인터페이스를 제공하며, 적합한 응용 콘텐츠를 접목할 경우 게임 컨트롤러로의 발전 가능성이 있다.

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A Study on User Willingness of Intelligent Music Platform Based on TAM Model

  • Li, Jingrong
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.10
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    • pp.43-50
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    • 2020
  • In this paper, we propose to study the factors affecting the user's intention to use smart music platform, and on the basis of studying the impact of service quality on the user's intention to use, such as perceived usability, perceived ease, perceived entertainment and perceived cost, respectively. Based on this, the impact factors model on the usage intention of smart music platform users was presented, and 398 questionnaires were collected through a survey of university students majoring in Chinese music, and the collected data were obtained by conducting frequency analysis, reliability analysis, exploratory factor analysis, correlation analysis, and structural equation model analysis using spss20.0 and amos20.0. The results show that: Quality of service has a positive effect on perceived usefulness, perceived ease of use, perceived entertainment and perceived cost. A study found that perceived usefulness, perceived ease of use, and perceived entertainment have a positive effect on users' intention of use and perceived cost has a negative effect on their intention of use. Through this conclusion, the entrepreneur presented an important meaning in promoting sustainable development of smart music platforms by improving the operation and profit model of smart music platforms.

A Tag-based Music Recommendation Using UniTag Ontology (UniTag 온톨로지를 이용한 태그 기반 음악 추천 기법)

  • Kim, Hyon Hee
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.133-140
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    • 2012
  • In this paper, we propose a music recommendation method considering users' tags by collaborative tagging in a social music site. Since collaborative tagging allows a user to add keywords chosen by himself to web resources, it provides users' preference about the web resources concretely. In particular, emotional tags which represent human's emotion contain users' musical preference more directly than factual tags which represent facts such as musical genre and artists. Therefore, to classify the tags into the emotional tags and the factual tags and to assign weighted values to the emotional tags, a tag ontology called UniTag is developed. After preprocessing the tags, the weighted tags are used to create user profiles, and the music recommendation algorithm is executed based on the profiles. To evaluate the proposed method, a conventional playcount-based recommendation, an unweighted tag-based recommendation, and an weighted tag-based recommendation are executed. Our experimental results show that the weighted tag-based recommendation outperforms other two approaches in terms of precision.

Designing emotional model and Ontology based on Korean to support extended search of digital music content (디지털 음악 콘텐츠의 확장된 검색을 지원하는 한국어 기반 감성 모델과 온톨로지 설계)

  • Kim, SunKyung;Shin, PanSeop;Lim, HaeChull
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.43-52
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    • 2013
  • In recent years, a large amount of music content is distributed in the Internet environment. In order to retrieve the music content effectively that user want, various studies have been carried out. Especially, it is also actively developing music recommendation system combining emotion model with MIR(Music Information Retrieval) studies. However, in these studies, there are several drawbacks. First, structure of emotion model that was used is simple. Second, because the emotion model has not designed for Korean language, there is limit to process the semantic of emotional words expressed with Korean. In this paper, through extending the existing emotion model, we propose a new emotion model KOREM(KORean Emotional Model) based on Korean. And also, we design and implement ontology using emotion model proposed. Through them, sorting, storage and retrieval of music content described with various emotional expression are available.

An exploratory analysis of factors influencing online music users' willingness to pay

  • Yu-Xuan, Yuan
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.2
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    • pp.217-225
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    • 2023
  • The willingness of online music users to pay is the key to the protection of music copyright and the sustainable development of the industry. This paper aims to study the influencing factors of online music users' willingness to pay based on exploratory analysis. Based on the theory of customer perceived value, the unified theory of technology acceptance and use, and the theory of fan enthusiasm, the research model is constructed. Validate the obtained 583 valid data. Through analysis, I got that perceived value, interpersonal influence, fan enthusiasm, and personal payment awareness directly affect online music users' willingness to pay; practical value and hedonic value have a positive impact on perceived value, and the impact of economic cost and compilation cost has not reached a significant level; Online word-of-mouth negatively moderates the impact of perceived value on users' willingness to pay for music. Music platforms can formulate operating policies based on this.

Research on the Impact of Digital Music Products on the Development of Regional Tourism Economy

  • Jun-Shu Liu
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.209-219
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    • 2024
  • In this paper, we propose a study to investigate the significant impact of digital technology on the development of the cultural industry and tourism. By collecting, selecting, and analyzing data on digital music products from 281 cities in China from 2005 to 2022, we confirm that well-known digital music products play a crucial role in promoting domestic tourism economic growth. However, their impact on the international tourism economy is not significant. Furthermore, these well-known digital music products can not only promote the development of the regional tourism economy but also influence the tourism economy of neighboring cities. The promotional effect of well-known digital music products is particularly important in fourth- and fifth-tier cities with rich cultural diversity and abundant tourism resources. Overall, well-known digital music products have a positive role in stimulating market vitality and promoting regional tourism economic development. These findings provide an important foundation for the integrated development of culture and tourism in the digital age and offer valuable insights for upgrading regional industrial structures and fostering regional harmonious development.