Results 41 to 50 of about 87,060 (221)

Construction of Intelligent Recognition and Learning Education Platform of National Music Genre Under Deep Learning

Frontiers in Psychology, 2022
In order to study the application of the deep learning (DL) method in music genre recognition, this study introduces the music feature extraction method and the deep belief network (DBN) in DL and proposes the parameter extraction feature and the ...
Zhongkui Xu
doaj   +1 more source

Using Generic Summarization to Improve Music Information Retrieval Tasks [PDF]

, 2016
In order to satisfy processing time constraints, many MIR tasks process only a segment of the whole music signal. This practice may lead to decreasing performance, since the most important information for the tasks may not be in those processed segments.
de Matos, David Martins, Raposo, Francisco, Ribeiro, Ricardo   +2 more
core   +2 more sources

Music Genre and Emotion Recognition Using Gaussian Processes

IEEE Access, 2014
Gaussian Processes (GPs) are Bayesian nonparametric models that are becoming more and more popular for their superior capabilities to capture highly nonlinear data relationships in various tasks, such as dimensionality reduction, time series analysis ...
Konstantin Markov, Tomoko Matsui
doaj   +1 more source

Novel mathematical model for the classification of music and rhythmic genre using deep neural network

Journal of Big Data, 2023
Music Genre Classification (MGC) is a crucial undertaking that categorizes Music Genre (MG) based on auditory information. MGC is commonly employed in the retrieval of music information.
Swati A. Patil, G. Pradeepini, Thirupathi Rao Komati   +2 more
doaj   +1 more source

Multimodal Music Genre Classification of Sotho-Tswana Musical Videos

IEEE Access
Music genre classification is a fundamental task in music information retrieval, aimed at discerning the categorical placement, or genre, of a given musical piece.
Osondu E. Oguike, Mpho Primus
doaj   +1 more source

A deep learning-based mathematical modeling strategy for classifying musical genres in musical industry

Nonlinear Engineering, 2023
Since the beginning of the digital music era, the number of available digital music resources has skyrocketed. The genre of music is a significant classification to use when elaborating music; the role of music tags in locating and categorizing ...
He Xiaoquan, Dong Fang
doaj   +1 more source

Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts [PDF]

, 2017
Despite their many identified shortcomings, music genres are still often used as ground truth and as a proxy for music similarity. In this work we therefore take another in-depth look at genre classification, this time with the help of music experts.
BL Sturm, CL Krumhansl, D Turnbull, E Drott, F Fabbri, G Tzanetakis, HY Lo, JJ Aucouturier, K Seyerlehner, M Schedl, Michael I. Mandel, N Scaringella, P Lamere, RO Gjerdingen   +13 more
core   +1 more source

Classification of Music Genres using Multimodal Deep Learning Technique [PDF]

E3S Web of Conferences
The demand for automated music organization and the ever-increasing volume of digital audio recordings has both contributed to a surge in interest in deep learning-based genre classification.
Naidu K Purushotam, Rao B. Janardhana, Revathi K., Gayathri M. Geetha, Jayasri G. Surya   +4 more
doaj   +1 more source

Singing Voice Detection in Electronic Music with a Long-Term Recurrent Convolutional Network

Applied Sciences, 2022
Singing Voice Detection (SVD) is a classification task that determines whether there is a singing voice in a given audio segment. While current systems produce high-quality results on this task, the reported experiments are usually limited to popular ...
Raymundo Romero-Arenas, Alfonso Gómez-Espinosa, Benjamín Valdés-Aguirre   +2 more
doaj   +1 more source

A Music Classification Approach Based on the Trajectory of Fifths

IEEE Access, 2022
In this paper we examine the applicability of the trajectory of fifths as a source of knowledge in automated music classification processes. The study shows that such trajectories provide valuable information concerning the harmonic structure of a given ...
Tomasz Lukaszewicz, Dariusz Kania
doaj   +1 more source