TY - JOUR
T1 - Computational Music Structure Analysis
T2 - Dagstuhl Seminar 16092: Computational Music Structure Analysis
AU - Müller, Meinard
AU - Chew, Elaine
AU - Bello, Juan
N1 - Conference code: 16092
PY - 2016/8/17
Y1 - 2016/8/17
N2 - Music is a ubiquitous and vital part of the lives of billions of people worldwide. Musical creations and performances are among the most complex and intricate of our cultural artifacts, and the emotional power of music can touch us in surprising and profound ways. In view of the rapid and sustained growth of digital music sharing and distribution, the development of computational methods to help users find and organize music information has become an important field of research in both industry and academia. The Dagstuhl Seminar 16092 was devoted to a research area known as music structure analysis, where the general objective is to uncover patterns and relationships that govern the organization of notes, events, and sounds in music. Gathering researchers from different fields, we critically reviewed the state of the art for computational approaches to music structure analysis in order to identify the main limitations of existing methodologies. This triggered interdisciplinary discussions that leveraged insights from fields as disparate as psychology, music theory, composition, signal processing, machine learning, and information sciences to address the specific challenges of understanding structural information in music. Finally, we explored novel applications of these technologies in music and multimedia retrieval, content creation, musicology, education, and human-computer interaction. In this report, we give an overview of the various contributions and results of the seminar. We start with an executive summary, which describes the main topics, goals, and group activities. Then, we present a list of abstracts giving a more detailed overview of the participants’ contributions as well as of the ideas and results discussed in the group meetings of our seminar.
AB - Music is a ubiquitous and vital part of the lives of billions of people worldwide. Musical creations and performances are among the most complex and intricate of our cultural artifacts, and the emotional power of music can touch us in surprising and profound ways. In view of the rapid and sustained growth of digital music sharing and distribution, the development of computational methods to help users find and organize music information has become an important field of research in both industry and academia. The Dagstuhl Seminar 16092 was devoted to a research area known as music structure analysis, where the general objective is to uncover patterns and relationships that govern the organization of notes, events, and sounds in music. Gathering researchers from different fields, we critically reviewed the state of the art for computational approaches to music structure analysis in order to identify the main limitations of existing methodologies. This triggered interdisciplinary discussions that leveraged insights from fields as disparate as psychology, music theory, composition, signal processing, machine learning, and information sciences to address the specific challenges of understanding structural information in music. Finally, we explored novel applications of these technologies in music and multimedia retrieval, content creation, musicology, education, and human-computer interaction. In this report, we give an overview of the various contributions and results of the seminar. We start with an executive summary, which describes the main topics, goals, and group activities. Then, we present a list of abstracts giving a more detailed overview of the participants’ contributions as well as of the ideas and results discussed in the group meetings of our seminar.
KW - Music Information Retrieval
KW - Music Processing
KW - Music Perception and Cognition
KW - Music Composition and Performance
KW - Knowledge Representation
KW - User Interaction and Interfaces
KW - Audio Signal Processing
KW - Machine Learning
U2 - 10.4230/DagRep.6.2.147
DO - 10.4230/DagRep.6.2.147
M3 - Editorial
SN - 2192-5283
VL - 6
SP - 147
EP - 151
JO - Dagstuhl Reports
JF - Dagstuhl Reports
IS - 2
Y2 - 28 February 2016 through 4 March 2016
ER -