Earticle

초록

영어

Audio identification technologies are becoming of increasing interest for copyright protection and digital forensic. In this paper, we propose an audio fragment identification system for efficient audio identifying applications in practice. To identify an audio file fragment, we have to decode it according to its format. Thus, we precede format classification of audio fragment using Support Vector Machine in advance. After identify the format, fragment recovery is implemented by adding a maximum similar frame header in front of the fragment. Then we extract a chroma feature from the decoded audio data to achieve audio identification. The experimental results show the evaluations of the format classification, fragment recovery and audio identification.

목차

Abstract
 1. Introduction
 2. Audio Fragment Format Classification
  2.1. Format Feature Extraction
  2.2. SVM
 3. Fragment Recovery
 4. Audio Identification
 5. Performance Evaluation
 6. Conclusion
 Acknowledgments
 References

키워드

저자

• Xun Jin [ Dept. of Copyright Protection Sangmyung University, Seoul, Korea ]
• Jongweon Kim [ Dept. of Copyright Protection Sangmyung University, Seoul, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605