Earticle

초록

영어

Music Information Retrieval (MIR) is a crucial topic in the domain of information retrieval. According to the major characteristics of music, the Query-by-Humming system retrieves interesting music by finding melodies that contains similar or equal melodies to the humming query. Basing on the fuzzy inference model designed in this paper, a novel Query-by- Humming/Singing system is proposed to extract pitch contour information from WAV and MIDI files. To verify the effectiveness of the presented work, the MIREX QBSH Database is employed as our experimental database and a large amount of human vocal data is used as queries to test the robustness of the MIR. Then, the Longest Common Subsequence (LCS) is used as an approximate matching algorithm to identify the top 5 music samples as an evaluation standard for the system. Experimental results show that the proposed system achieves 85% accuracy in the top 5 retrievals.

목차

Abstract
 I. INTRODUCTION
 II. RELATED WORK
 III. THE PROPOSED APPROACH
  A. WAV to MIDI
  B. Pitch Contour
  C. Fuzzy Inference System
  D. Longest Common Subsequence
 IV. EXPERIMENTAL RESULTS AND DISCUSSIONS
 V. CONCLUSION AND FUTURE WORK
 ACKNOWLEDGMENTS
 REFERENCES

키워드

저자

• Yo-Ping Huang [ Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan 10608 ]
• Shin-Liang Lai [ Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan 10451 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JoC [Journal of Convergence]

• 간기

  계간

• pISSN

  2093-7741

• eISSN

  2093-775X

• 수록기간

  2010~2015

• 십진분류

  KDC 004 DDC 004