Results 51 to 60 of about 746,637 (221)
Music Genre Classification with ResNet and Bi-GRU Using Visual Spectrograms [PDF]
arXiv, 2023 Music recommendation systems have emerged as a vital component to enhance user experience and satisfaction for the music streaming services, which dominates music consumption. The key challenge in improving these recommender systems lies in comprehending the complexity of music data, specifically for the underpinning music genre classification.
arxiv
MOLDOVAN-RUSSIAN INTERCULTURAL DIALOGUE WITHIN THE FRAMEWORK OF THE ”NEW MUSIC DAYS” INTERNATIONAL FESTIVAL [PDF]
Studiul Artelor şi Culturologie: Istorie, Teorie, Practică, 2021 The present research deals with the Moldovan-Russian intercultural dialogues held within the “New Music Days” International Festival from the Republic of Moldova in the period between 1991 and 2018.
BARBAS, VALERIA
doaj +2 more sources
Dynamic Bayesian Networks for Musical Interaction [PDF]
, 2017 We describe in this chapter a consistent set of temporal models that we have developed over the years for analyzing movement in real-time musical interaction. These models are probabilistic and can be unified and generalized under the formalism of dynamic Bayesian networks (DBNs).
Caramiaux, Baptiste +2 more
openaire +4 more sources
Comparing Probabilistic Models for Melodic Sequences [PDF]
, 2011 Modelling the real world complexity of music is a challenge for machine learning. We address the task of modeling melodic sequences from the same music genre.
D. Eck +14 more
core +3 more sources
M@n@gement, 2023 This paper contributes to the understanding of market categorisation processes. More specifically, it analyses the evolution of the independent music category, characterised as a fuzzy category by its instability and as an alternative category by its ...
Boris Collet +2 more
doaj +1 more source
Phase synchronization of instrumental music signals
, 2014 Signal analysis is one of the finest scientific techniques in communication theory. Some quantitative and qualitative measures describe the pattern of a music signal, vary from one to another.
Ariffin, MRK +4 more
core +1 more source
The Dynamics of Musical Success
, 2020 Music has tremendous cultural and commercial significance for people the world over. It is one of the oldest human inventions and is among the most popular consumption activities on the planet. The music industry is also of great economic importance with 19 billion dollars in revenue worldwide in 2019.
openaire +3 more sources
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music [PDF]
, 2020 Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a sequence of tokens. This motivates the majority of existing solutions to explore the utilization of word embedding models to build music embeddings.
arxiv +1 more source
Full-Scale Piano Score Recognition
Applied SciencesSheet music is one of the most efficient methods for storing music. Meanwhile, a large amount of sheet music-image data is stored in paper form, but not in a computer-readable format.
Xiang-Yi Zhang, Jia-Lien Hsu
doaj +1 more source
Beyond pitch/duration scoring: Towards a system dynamics model of electroacoustic music [PDF]
, 1999 Based on a hierarchy of discrete pitches and metrically sub-divisible duration, Western tonal art music is usually modelled through printed music scores.
Whalley, Ian
core +1 more source