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A Novel Approach Based on Fault Tolerance and Recursive Segmentation to Query by Humming

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJHIT) 바로가기
  • 간행물
    International Journal of Hybrid Information Technology 바로가기
  • 통권
    Vol.3 No.3 (2010.07)바로가기
  • 페이지
    pp.1-14
  • 저자
    Xiaohong Yang, Qingcai Chen, Xiaolong Wang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A147901

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원문정보

초록

영어
With the explosive growth of digital music, content-based music information retrieval especially query by humming / singing have been attracting more and more attention and are becoming popular research topics over the past decade. Although query by humming / singing can provide natural and intuitive way to search music, retrieval system still confronts many issues such as key modulation, tempo change, note insertion, deletion or substitution which are caused by users and query transcription respectively. In this paper, we propose a novel approach based on fault tolerance and recursive segmentation to solve above problems. Music melodies in database are represented with specified manner and indexed using inverted index method. Query melody is segmented into phrases recursively with musical dictionary firstly. Then improved edit distance, pitch deviation and overall bias are employed to measure the similarity between phrases and indexed entries. Experimental results reveal that proposed approach can achieve high recall for music retrieval.

목차

Abstract
 1. Introduction
 2. Index construction
  2.1. Melody representation
  2.2. Musical dictionary
  2.3. Melody partition
 3. Proposed QBH approach
  3.1. Query transcription
  3.2. Similarity measurement
  3.3. Fault tolerance mechanism
  3.4. Recursive segmentation
 4. Experiments
  4.1. Dataset
  4.2. Environment
  4.3. Performance
 5. Conclusions
 6. Acknowledgments
 7. References

키워드

Query by humming melody partition edit distance fault tolerance recursive segmentation.

저자

  • Xiaohong Yang [ Department of Computer Science and Technology Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China ]
  • Qingcai Chen [ Department of Computer Science and Technology Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China ]
  • Xiaolong Wang [ Department of Computer Science and Technology Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Hybrid Information Technology
  • 간기
    격월간
  • pISSN
    1738-9968
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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