Results 51 to 60 of about 2,341,143 (329)
Neural Network Music Genre Classification [PDF]
Canadian Journal of Electrical and Computer Engineering, 2019 Music genre classification utilizing neural networks has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of neural networks implemented have all had varying levels of success. This paper reviews some of the machine learning techniques utilized in this area.
Nikki Pelchat, Craig M. Gelowitz
openaire +2 more sources
Hide and seek: Pedagogic discourse and the hidden curriculum in the secondary music classroom
British Educational Research Journal, EarlyView.Abstract The selective recontextualisation of musical knowledge from societal practice into educational content—mediated by diverse political and pedagogical influences—is neither ideologically neutral nor epistemically determinate. Rather, the reframing of ‘horizontal’ musical intuition into ‘vertical’ musical conceptualisation within the secondary ...
Elizabeth H. MacGregor, Eliam Lau
wiley +1 more source
Feature Selection in Automatic Music Genre Classification [PDF]
, 2008 This paper presents the results of the application of a feature selection procedure to an automatic music genre classification system. The classification system is based on the use of multiple feature vectors and an ensemble approach, according to time ...
Celso A. A. Kaestner +5 more
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study theorises and empirically tests performative purpose alignment theory (PPAT), which conceptualises corporate purpose as a performative artefact materialised through discursive and multimodal signals. To operationalise this, we introduced the SDG–Purpose Alignment Index (SPAI), a computational construct that quantifies the thematic ...
Augustine Okeke, Ifeanyi Ugbebor
wiley +1 more source
Attributes Relevance in Content-Based Music Recommendation System
Applied SciencesThe possibility of recommendations of musical songs is becoming increasingly required because of the millions of users and songs included in online databases. Therefore, effective methods that automatically solve this issue need to be created.
Daniel Kostrzewa +2 more
doaj +1 more source
Automatic Music Genre Classification Using Ensemble of Classifiers [PDF]
, 2007 This paper presents a novel approach to the task of automatic music genre classification which is based on multiple feature vectors and ensemble of classifiers. Multiple feature vectors are extracted from a single music piece.
Celso A. A. Kaestner +5 more
core +1 more source
Thresholds: The metaphorical foundations of powerful knowledge
The Curriculum Journal, EarlyView.Abstract This paper advances a theoretical account of threshold concepts as metaphorical‐relational structures that reorganise meaning across contexts. Building on conceptual metaphor theory, we propose that threshold concepts can be understood as sites of schema‐level reorganisation: deep, embodied patterns of relational logic that scaffold abstract ...
Maria Karrol +1 more
wiley +1 more source
Musical Genre Classification Using Advanced Audio Analysis and Deep Learning Techniques
IEEE Open Journal of the Computer SocietyClassifying music genres has been a significant problem in the decade of seamless music streaming platforms and countless content creations. An accurate music genre classification is a fundamental task with applications in music recommendation, content ...
Mumtahina Ahmed +5 more
doaj +1 more source
Problems of definition and classification of fantasy: Western European and Slavonic perspectives
SHS Web of Conferences, 2018 The article deals with the problem of definition and classification of literary works marked as fantasy. Being quite a modern genre, fantasy, on the one hand, has become quite a popular literature among groups of people of different ages and occupations ...
Ryzhchenko Olga
doaj +1 more source
The Curriculum Journal, EarlyView.Abstract Assessing interdisciplinary learning within school curricula remains a persistent challenge in educational research. Difficulties in articulating shared assessment criteria, alongside differing disciplinary and pedagogical perspectives, have contributed to ongoing uncertainty around how interdisciplinary learning should be evaluated.
Hermione Paddle
wiley +1 more source