Challenges and opportunities of predicting musical emotions with perceptual and automatized features
Music information retrieval (MIR) is a fast-growing research area. One of its aims is to extract
musical characteristics from audio. In this study, we assumed the roles of researchers …
musical characteristics from audio. In this study, we assumed the roles of researchers …
[PDF][PDF] Overview of the KTH rule system for musical performance
The KTH rule system models performance principles used by musicians when performing a
musical score, within the realm of Western classical, jazz and popular music. An overview is …
musical score, within the realm of Western classical, jazz and popular music. An overview is …
Musical parallelism and melodic segmentation:: A computational approach
E Cambouropoulos - Music Perception, 2006 - JSTOR
extracts melodic patterns from a given melodic surface is presented; following the
assumption that the beginning and ending points of “significant” repeating musical patterns …
assumption that the beginning and ending points of “significant” repeating musical patterns …
Melodic grouping in music information retrieval: New methods and applications
We introduce the MIR task of segmenting melodies into phrases, summarise the
musicological and psychological background to the task and review existing computational …
musicological and psychological background to the task and review existing computational …
A Comparison of Statistical and Rule-Based Models of Melodic Segmentation.
A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. Page 90 ISMIR
2008–Session 1b–Melody A COMPARISON OF STATISTICAL AND RULE-BASED MODELS OF …
2008–Session 1b–Melody A COMPARISON OF STATISTICAL AND RULE-BASED MODELS OF …
[HTML][HTML] Automatic melody harmonization via reinforcement learning by exploring structured representations for melody sequences
T Zeng, FCM Lau - Electronics, 2021 - mdpi.com
We present a novel reinforcement learning architecture that learns a structured
representation for use in symbolic melody harmonization. Probabilistic models are …
representation for use in symbolic melody harmonization. Probabilistic models are …
[图书][B] Music Technology in Education: Channeling and Challenging Perspectives
ØJ Eiksund, E Angelo, J Knigge - 2020 - library.oapen.org
This anthology presents research projects that examine the intersection between music,
technology and education from a variety of perspectives. The contributors are from a range …
technology and education from a variety of perspectives. The contributors are from a range …
How similar is similar?
E Cambouropoulos - Musicae Scientiae, 2009 - journals.sagepub.com
In the first part of the paper a theoretical discussion is presented regarding the fundamental
concept of similarity and its relation to cue abstraction and categorisation. It is maintained …
concept of similarity and its relation to cue abstraction and categorisation. It is maintained …
The melodic beat: exploring asymmetry in polska performance
O Misgeld, A Holzapfel, P Kallioinen… - Journal of Mathematics …, 2022 - Taylor & Francis
Some triple-beat forms in Scandinavian Folk Music are characterized by non-isochronous
beat durations: asymmetric beats. Theorists of folk music have suggested that the variability …
beat durations: asymmetric beats. Theorists of folk music have suggested that the variability …
Unsupervised symbolic music segmentation using ensemble temporal prediction errors
Symbolic music segmentation is the process of dividing symbolic melodies into smaller
meaningful groups, such as melodic phrases. We proposed an unsupervised method for …
meaningful groups, such as melodic phrases. We proposed an unsupervised method for …