Browsing by Author "Holzapfel, Andre"

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  • Srinivasamurthy, Ajay; Holzapfel, Andre; Cemgil, Ali Taylan; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Most musical phenomena involve repetitive structures that enable listeners to track meter, i.e. the tactus or beat, the longer over-arching measure or bar, and possibly other related layers. Meters with long measure duration, ...
  • Sentürk, Sertan; Holzapfel, Andre; Serra, Xavier (Universitat Pompeu Fabra, 2012)
    The main information sources to study a particular piece of music are symbolic scores and audio recordings. These are complementary representations of the piece and it is/nvery useful to have a proper linking between the ...
  • Srinivasamurthy, Ajay; Holzapfel, Andre; Ganguli, Kaustuv Kanti; Serra, Xavier (Frontiers, 2017)
    This article provides insights into aspects of tempo and rhythmic elaboration in Hindustani music, based on a study of a large corpus of recorded performances. Typical tempo developments and stress patterns within a metrical ...
  • Benetos, Emmanouil; Holzapfel, Andre (International Society for Music Information Retrieval (ISMIR), 2013)
    In this paper we propose an automatic system for transcribing/nmakam music of Turkey. We document the specific/ntraits of this music that deviate from properties that/nwere targeted by transcription tools so far and we ...
  • Bozkurt, Baris; Ayangil, Ruhi; Holzapfel, Andre (Taylor & Francis (Routledge), 2014)
    This text targets a review of the computational analysis literature for Turkish makam music, discussing in detail the challenges involved and presenting a perspective for further studies. For that purpose, the basic concepts ...
  • Srinivasamurthy, Ajay; Holzapfel, Andre; Serra, Xavier (Taylor & Francis (Routledge), 2014)
    The aim of this paper is to identify and discuss various methods in computational rhythm description of Carnatic and Hindustani music of India, and Makam music of Turkey. We define and describe three relevant rhythm ...
  • Srinivasamurthy, Ajay; Holzapfel, Andre; Serra, Xavier (International Society for Music Information Retrieval, 2017)
    Automatic meter analysis aims to annotate a recording of a metered piece of music with its metrical structure. This analysis subsumes correct estimation of the type of meter, the tempo, and the alignment of the metrical ...
  • Sentürk, Sertan; Holzapfel, Andre; Serra, Xavier (Taylor & Francis (Routledge), 2014)
    The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking ...
  • Holzapfel, Andre; Bozkurt, Baris (Universitat Pompeu Fabra, 2012)
    In this paper we investigate how note onsets in Turkish Makam music compositions are distributed, and in how far this distribution supports or contradicts the metrical structure of the pieces, the usul. We use MIDI data ...
  • Dzhambazov, Georgi Bogomilov; Holzapfel, Andre; Srinivasamurthy, Ajay; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2017)
    The goal of this study is the automatic detection of onsets of the singing voice in polyphonic audio recordings. Starting with a hypothesis that the knowledge of the current position in a metrical cycle (i.e. metrical ...
  • Agres, Kat R.; Schaefer, Rebecca S.; Volk, Anja; van Hooren, Susan; Holzapfel, Andre; Dalla Bella, Simone; Müller, Meinard; de Witte, Martina; Herremans, Dorien; Ramirez Melendez, Rafael; Neerincx, Mark; Ruiz, Sebastian; Meredith, David; Dimitriadis, Theo; Magee, Wendy L. (SAGE Publications, 2021)
    The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved ...
  • Srinivasamurthy, Ajay; Holzapfel, Andre; Cemgil, Ali Taylan; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2015)
    Recent approaches in meter tracking have successfully applied Bayesian models. While the proposed models can be adapted to different musical styles, the applicability of these flexible methods so far is limited because ...
  • Holzapfel, Andre; Davies, Matthew E. P.; Zapata González, José Ricardo; Lobato Oliveira, João; Gouyon, Fabien (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    In this paper, we propose a method that can identify challenging music samples for beat tracking without ground truth. Our method, motivated by the machine learning method “selective sampling,” is based on the measurement ...

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