Discovering Motifs with Variants in Music Databases

2017 ◽  
pp. 14-26
Author(s):  
Riyadh Benammar ◽  
Christine Largeron ◽  
Véronique Eglin ◽  
Myléne Pardoen
Keyword(s):  
Music Databases

scholarly journals Genre of Bangla Music: A Machine Classification Learning Approach

2019 ◽  
Vol 18 (2) ◽  
pp. 66-72
Author(s):  
Abhijit Bhowmik ◽  
AZM Ehtesham Chowdhury
Keyword(s):  
Classification Systems ◽  
Learning Approach ◽  
Large Set ◽  
Automated Classification ◽  
Classification Learning ◽  
Genre Classification ◽  
Machine Learning Approach ◽  
Music Databases ◽  
East Asian Language

The necessity for designing autonomous indexing tools to establish expressive and efficient means of describing musical media content is well recognized. Music genre classification systems are significant to manage and use music databases. This research paper proposes an enhanced method to automatically classify music into different genre using a machine learning approach and presents the insight and results of the application of the proposed scheme to the classification of a large set of The Bangla music content, a South-East Asian language rich with a variety of music genres developed over many centuries. Building upon musical feature extraction and decision-making techniques, we propose new features and procedures to achieve enhanced accuracy. We demonstrate the efficacy of the proposed method by extracting features from a dataset of hundreds of The Bangla music pieces and testing the automatic classification decisions. This is the first development of an automated classification technique applied specifically to the Bangla music to the best of our knowledge, while the superior accuracy of the method makes it universally applicable.

Music Index with Full Text

2021 ◽  
Vol 23 (1) ◽  
pp. 35-37
Author(s):  
Alyson Vaaler
Keyword(s):  
Full Text ◽  
Music Databases ◽  
Sheer Size ◽  
Easy Integration ◽  
Comprehensive Coverage

Music Index with Full Text is an expansion of Music Index (formerly The Music Index Online), an EBSCO music periodical database that provides comprehensive coverage of the music field from 1970 to the present. Over 800 journals are indexed, and coverage includes various music styles and topics. Music Index with Full Text has added full text journal coverage from approximately 200 journals.The EBSCO interface is familiar to many users and offers easy integration with other heavily used music databases, such as RILM and RIPM. While the sheer size of citations and variety of music materials and styles is beneficial, Music Index might not be as useful to researchers focusing purely on historical music scholarship. The addition of full text journals is welcome, but the content of the journals varies widely in scope and content.

Mining in Music Databases

2011 ◽  
pp. 340-374
Author(s):  
Ioannis Karydis ◽  
Alexandros Nanopoulos ◽  
Yannis Manolopoulos
Keyword(s):  
Data Mining ◽  
Statistical Models ◽  
Complex Structure ◽  
Digital Audio ◽  
Practical Applications ◽  
Acoustic Data ◽  
Music Classification ◽  
Musical Scores ◽  
Music Databases ◽  
Music Data Mining

This chapter provides a broad survey of music data mining, including clustering, classification and pattern discovery in music. The data studied is mainly symbolic encodings of musical scores, although digital audio (acoustic data) is also addressed. Throughout the chapter, practical applications of music data mining are presented. Music data mining addresses the discovery of knowledge from music corpora. This chapter encapsulates the theory and methods required in order to discover knowledge in the form of patterns for music analysis and retrieval, or statistical models for music classification and generation. Music data, with their temporal, highly structured and polyphonic character, introduce new challenges for data mining. Additionally, due to their complex structure and their subjectivity to inaccuracies caused by perceptual effects, music data present challenges in knowledge representation as well.

scholarly journals Automatic Staff Reconstruction within SIMSSA Project

2020 ◽  
Vol 10 (7) ◽  
pp. 2468
Author(s):  
Lorenzo J. Tardón ◽  
Isabel Barbancho ◽  
Ana M. Barbancho ◽  
Ichiro Fujinaga
Keyword(s):  
Object Identification ◽  
Research Topic ◽  
Identification System ◽  
The Public ◽  
Post Process ◽  
Correct Analysis ◽  
Musical Object ◽  
Musical Scores ◽  
Ancient Music ◽  
Music Databases

The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available to the public, including scores of ancient music. For the correct analysis of music elements and their interpretation, the identification of staff lines is of key importance. In this paper, a scheme to post-process the output of a previous musical object identification system is described. This system allows the reconstruction by means of detection, tracking and interpolation of the staff lines of ancient scores from the digital Salzinnes Database. The scheme developed shows a remarkable performance on the specific task it was created for.

A roadshow of library resources: familiarize students with what you have

2015 ◽  
Vol 43 (2) ◽  
pp. 280-291 ◽  
Author(s):  
Katie Lai
Keyword(s):  
Information Literacy ◽  
Return On Investment ◽  
Design Methodology ◽  
Limited Resources ◽  
Content Type ◽  
Simple Set ◽  
Library Resources ◽  
Music Databases ◽  
Set Up ◽  
Teaching Time

Purpose – The purpose of this paper is to describe how the popular culture of flash mob inspired the creation of the library roadshows and elaborate on the conducting of flash outreach events to market music databases to students with limited resources. Design/methodology/approach – By not requesting faculty for in-class teaching time, the promotion of library e-resources took place beyond the library building, in places where students live and hangout, and during the short window when students mingle before classes. Simple set-up with laptops and a movable large screen TV was used for brief database demonstration. Findings – The provision of quick demos and on-the-go consultations of e-resources through the library roadshows proved to encourage usage and obtain a higher return on investment without requiring much extra manpower and funding. Students also welcomed this new way of learning without having to go to a class. Social implications – Seeing students and offering services where students live and hangout help make the library more visible and blend librarians in students’ campus life. Originality/value – While information literacy workshops oftentimes happen inside the library or during a class hour, the library roadshows go beyond physical boundaries and take information literacy instruction to where the targeted audience is. Not only are these flash outreach events quick and easy to conduct, but this casual learning also fits the learning behavior of the millennial generation who wants everything succinct and straight to the point.

scholarly journals Efficient kNN search in polyphonic music databases using a lower bounding mechanism

2005 ◽  
Vol 10 (6) ◽  
pp. 513-528 ◽  
Author(s):  
Ning-Han Liu ◽  
Yi-Hung Wu ◽  
Arbee L. P. Chen
Keyword(s):  
Lower Bounding ◽  
Music Databases ◽  
Knn Search ◽  
Polyphonic Music
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