Results 11 to 20 of about 87,060 (221)
Music Genre Classification via Joint Sparse Low-Rank Representation of Audio Features [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2014 A novel framework for music genre classification, namely the joint sparse low-rank representation (JSLRR) is proposed in order to: 1) smooth the noise in the test samples, and 2) identify the subspaces that the test samples lie onto.
Ioannis Panagakis +2 more
exaly +3 more sources
Mathematics, 2021 Music is a type of time-series data. As the size of the data increases, it is a challenge to build robust music genre classification systems from massive amounts of music data.
Lvyang Qiu, Shuyu Li, Yunsick Sung
doaj +3 more sources
Efficient Music Genre Recognition Using ECAS-CNN: A Novel Channel-Aware Neural Network Architecture [PDF]
SensorsIn the era of digital music proliferation, music genre classification has become a crucial task in music information retrieval. This paper proposes a novel channel-aware convolutional neural network (ECAS-CNN) designed to enhance the efficiency and ...
Yang Ding +4 more
doaj +2 more sources
Temporal feature integration for music genre classification [PDF]
IEEE Transactions on Audio, Speech and Language Processing, 2007 Temporal feature integration is the process of combining all the feature vectors in a time window into a single feature vector in order to capture the relevant temporal information in the window. The mean and variance along the temporal dimension are often used for temporal feature integration, but they capture neither the temporal dynamics nor ...
Ahrendt, Peter +3 more
core +4 more sources
IEEE AccessThe goal of music genre classification is to identify the genre of given feature vectors representing certain characteristics of music clips. In addition, to improve the accuracy of music genre classification, considerable research has been conducted on ...
Wangduk Seo +3 more
doaj +3 more sources
Music genre classification: a multilinear approach [PDF]
, 2008 In this paper, music genre classification is addressed in a multilinear perspective. Inspired by a model of auditory cortical processing, multiscale spectro-temporal modulation features are extracted.
Benetos, E. +2 more
core +6 more sources
Exploring different approaches for music genre classification
Egyptian Informatics Journal, 2012 In this letter, we present different approaches for music genre classification. The proposed techniques, which are composed of a feature extraction stage followed by a classification procedure, explore both the variations of parameters used as input and ...
Antonio Jose Homsi Goulart +2 more
doaj +3 more sources
A novel approach for music genre identification using ZFNet, ELM, and modified electric eel foraging optimizer [PDF]
Scientific ReportsMusic genre categorization has been considered to be an essential task within the context of music data recovery. Genres serve as categories or labels that enable the classification of music based on shared attributes, including musical style ...
Shuang Zhang, Zhiyong Sun, Hasan Jafari
doaj +2 more sources
Multimodal Deep Learning for Music Genre Classification
Transactions of the International Society for Music Information Retrieval, 2018 Music genre labels are useful to organize songs, albums, and artists into broader groups that share similar musical characteristics. In this work, an approach to learn and combine multimodal data representations for music genre classification is proposed.
Sergio Oramas +3 more
doaj +4 more sources
Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm [PDF]
Scientific ReportsMusic genres classification has long been a challenging task in the field of Music Information Retrieval (MIR) due to the intricate and diverse nature of musical content.
Peiyan Chen, Jichi Zhang, Arsam Mashhadi
doaj +2 more sources