1 Ocak 2015 Dergi makalesi Açık Erişim

Krebs, Florian; Holzapfel, Andre; Cemgil, Ali Taylan; Widmer, Gerhard

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{
  "@context": "https://schema.org/", 
  "@id": 82645, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Johannes Kepler Univ Linz, Dept Computat Percept, A-4040 Linz, Austria", 
      "name": "Krebs, Florian"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Bogazici Univ, Dept Comp Engn, TR-34342 Istanbul, Turkey", 
      "name": "Holzapfel, Andre"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Bogazici Univ, Dept Comp Engn, TR-34342 Istanbul, Turkey", 
      "name": "Cemgil, Ali Taylan"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Johannes Kepler Univ Linz, Dept Computat Percept, A-4040 Linz, Austria", 
      "name": "Widmer, Gerhard"
    }
  ], 
  "datePublished": "2015-01-01", 
  "description": "In this paper, we propose a new state-of-the-art particle filter (PF) system to infer the metrical structure of musical audio signals. The new inference method is designed to overcome the problem of PFs in multi-modal probability distributions, which arise due to tempo and phase ambiguities in musical rhythm representations. We compare the new method with a hidden Markov model (HMM) system and several other PF schemes in terms of performance, speed and scalability on several audio datasets. We demonstrate that using the proposed system the computational complexity can be reduced drastically in comparison to the HMM while maintaining the same order of beat tracking accuracy. Therefore, for the first time, the proposed system allows fast meter inference in a high-dimensional state space, spanned by the three components of tempo, type of rhythm, and position in a metric cycle.", 
  "headline": "Inferring Metrical Structure in Music Using Particle Filters", 
  "identifier": 82645, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Inferring Metrical Structure in Music Using Particle Filters", 
  "url": "https://aperta.ulakbim.gov.tr/record/82645"
}