Results 51 to 60 of about 87,060 (221)
Co-occurrence Models in Music Genre Classification [PDF]
, 2005 Music genre classification has been investigated using many different methods, but most of them build on probabilistic models of feature vectors xr which only represent the short time segment with index r of the song.
Ahrendt, Peter +2 more
core +2 more sources
Transfer Learning for Music Genre Classification [PDF]
, 2017 Modern music information retrieval system provides high-level features (genre, instrument, mood and so on) for searching and recommending conveniently. Among these music tags, genre is the most widely used in practice. Machine learning technique has the ability of cataloguing different genres from raw music.
Guangxiao Song +3 more
openaire +1 more source
CTP Ontology: A Semantic Model for Structuring Cultural Thematic Paths
Journal of the Association for Information Science and Technology, EarlyView.Abstract A thematic path enhances the appreciation of cultural heritage by connecting diverse cultural objects through shared themes. This study introduces the Cultural Thematic Path (CTP) Ontology, designed to support the creation, organization, description, publication, and management of thematic paths within the GLAM (Galleries, Libraries, Archives,
Tiziana Pasciuto +2 more
wiley +1 more source
Automatic Genre Classification of Latin Music Using Ensemble of Classifiers [PDF]
, 2006 This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece ...
Kaestner, Celso A.A. +2 more
core
International Journal Of Engineering And Computer Science, 2016 The purpose of this research is to build a machine learning model to predict the genre of a song. This paper analyzes a song as a wave and determines the factors involved and predicts the genre. Application of the model is primarily to automatize the process of genre identification which shall aid in building of music recommendation systems.
openaire +1 more source
RETRACTED: Learner emotions and performance in hypercasual VR games with adaptive AI difficulty
British Educational Research Journal, EarlyView.Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley +1 more source
The Impact of Dance Interventions on Adolescents’ Prosocial Behavior: A Scoping Review
Journal of Adolescence, EarlyView.ABSTRACT Introduction Adolescents are increasingly affected by complex societal challenges that impact their psychosocial development. Prosocial behaviors such as empathy, cooperation, and peer support are critical during this stage and contribute to positive academic, emotional, and social outcomes.
Chloe L. Brown +4 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
Classification of Music Genres Based on Music Separation into Harmonic and Drum Components
Archives of Acoustics, 2014 This article presents a study on music genre classification based on music separation into harmonic and drum components. For this purpose, audio signal separation is executed to extend the overall vector of parameters by new descriptors extracted from ...
Aldona ROSNER +2 more
doaj +1 more source
When does category spanning hurt or help producers?
Strategic Management Journal, EarlyView.Abstract Research Summary Scholars have theorized many factors shaping whether category spanning helps or hurts producers. We first synthesize evidence by meta‐analyzing 25 years of empirical research, which reveals a null effect of spanning on average, yet with significant subsample heterogeneity. To unpack it, we theorize and find that spanning hurts
Jungsoo Ahn +2 more
wiley +1 more source