지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 1,644 - 1,648 (5page)
이용수
초록· 키워드
오류제보하기
Recently, the introduction of CT (Culture Technology) in the intelligence system was forming a new paradigm. Among these, research on musical fountain is still in the basic research phase has been started. Musical fountain System is required scenario to control the music and nozzle of fountain. In generally, these musical fountain scenarios created by the experts. So musical fountain need too much cost of maintenance for subsidiary facilities. In this paper, using the Beat Tracking Algorithm, optimized musical expression intelligent fountain system is proposed. Also, we proposed new classification of music genre to reduce the maintenance costs of musical fountain. We simply tag the emotional adjectives, as set apart as a genre of music was re-classified. In this paper, the newly defined criteria to classify the genre, SVMs (Support Vector Machines) algorithm, the weights applied by the Gaussian distribution to determine the optimal hyper plane, VCMs (Variance-Considered Machines)algorithm is used. The proposed use of this system to generate a musical fountain scenario can significantly reduce the time required, a in terms of cost can be reduced significantly.
목차
Abstract
1. INTRODUCTION
2. MUSIC ANALYSIS
3. MUSIC CLASSIFICATION
4. PROPOSED METHOD OF MUSIC GENRE CLASSIFICATION
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000915376