Analytical Techniques for the Identification of a Musical Score: The Musical DNA

被引:0
作者
Della Ventura, Michele [1 ]
机构
[1] Mus Acad Studio Mus, Dept Informat Technol, Via Andrea Gritti 25, I-31100 Treviso, Italy
来源
COMPUTATIONAL SCIENCE - ICCS 2020, PT V | 2020年 / 12141卷
关键词
Musical DNA; Information retrieval; Musical score search engine; INFORMATION; SEGMENTATION; AUDIO;
D O I
10.1007/978-3-030-50426-7_3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the information age, one of the main research field that is being developed is the one related to how to improve the quality of the search engine as regards knowing how to manage the information contained in a document in order to extract its content and interpret it. On the one hand due to the heterogeneity of the information contained on the web (text, image, video, musical scores), and on the other hand to satisfy the user who generally searches for information of a very different type. This paper describes the development and evaluation of an analytical method for the analysis of musical score considered in its symbolic level. The developed method is based on the analysis of the fundamental elements of the musical grammar and takes into account the distance between the sounds (which characterize a melody) and their duration (which makes the melody active and alive). The method has been tested on a set of different musical scores, realizing an algorithm in order to identity a musical score in a database.
引用
收藏
页码:29 / 39
页数:11
相关论文
共 50 条
  • [1] Musical score representation and retrieval in digital environments
    Tolare, Jessica Beatriz
    Fujita, Mariangela Spotti Lopes
    de Castro, Fabiano Ferreira
    IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS, 2024, 50 (02): : 408 - 415
  • [2] Assessing Algorithmic Biases for Musical Version Identification
    Yesiler, Furkan
    Miron, Marius
    Serra, Joan
    Gomez, Emilia
    WSDM'22: PROCEEDINGS OF THE FIFTEENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2022, : 1284 - 1290
  • [3] The impact of musical pleasure and musical hedonia on verbal episodic memory
    Cardona, Gemma
    Rodriguez-Fornells, Antoni
    Nye, Harry
    Rifa-Ros, Xavier
    Ferreri, Laura
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [4] The impact of musical training and tone language experience on talker identification
    Xie, Xin
    Myers, Emily
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2015, 137 (01) : 419 - 432
  • [5] Musical Composer Identification through Probabilistic and Feedforward Neural Networks
    Kaliakatsos-Papakostas, Maximos A.
    Epitropakis, Michael G.
    Vrahatis, Michael N.
    APPLICATIONS OF EVOLUTIONARY COMPUTATION, PT II, PROCEEDINGS, 2010, 6025 : 411 - 420
  • [6] Performance Following: Real-Time Prediction of Musical Sequences Without a Score
    Stark, Adam M.
    Plumbley, Mark D.
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2012, 20 (01): : 190 - 199
  • [7] Recognition of Western style musical genres using machine learning techniques
    Mostafa, Mohamed M.
    Billor, Nedret
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (08) : 11378 - 11389
  • [8] Perceptually Salient Regions of the Modulation Power Spectrum for Musical Instrument Identification
    Thoret, Etienne
    Depalle, Philippe
    McAdams, Stephen
    FRONTIERS IN PSYCHOLOGY, 2017, 8
  • [9] Making menus musical
    Brewster, SA
    Crease, MG
    HUMAN-COMPUTER INTERACTION - INTERACT '97, 1997, : 389 - 396
  • [10] Development of an intelligent model for musical key estimation using machine learning techniques
    George, Abraham
    Mary, X. Anitha
    George, S. Thomas
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (14) : 19945 - 19964