A survey of audio-based music classification and annotation
Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …
attention from both the research community and music industry. It addresses the problem of …
Music genre classification and music recommendation by using deep learning
Today, music is a very important and perhaps inseparable part of people's daily life. There
are many genres of music and these genres are different from each other, resulting in …
are many genres of music and these genres are different from each other, resulting in …
Holistic approaches to music genre classification using efficient transfer and deep learning techniques
SK Prabhakar, SW Lee - Expert Systems with Applications, 2023 - Elsevier
With the rapid development of high-tech multimedia technologies, many musical resource
assets are available online and it has always triggered an interest in the classification of …
assets are available online and it has always triggered an interest in the classification of …
The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use
BL Sturm - arxiv preprint arxiv:1306.1461, 2013 - arxiv.org
The GTZAN dataset appears in at least 100 published works, and is the most-used public
dataset for evaluation in machine listening research for music genre recognition (MGR). Our …
dataset for evaluation in machine listening research for music genre recognition (MGR). Our …
Classification accuracy is not enough: On the evaluation of music genre recognition systems
BL Sturm - Journal of Intelligent Information Systems, 2013 - Springer
We argue that an evaluation of system behavior at the level of the music is required to
usefully address the fundamental problems of music genre recognition (MGR), and indeed …
usefully address the fundamental problems of music genre recognition (MGR), and indeed …
A survey of evaluation in music genre recognition
BL Sturm - International Workshop on Adaptive Multimedia …, 2012 - Springer
Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …
data, and other modalities. While reviews have been written of some of this work before, no …
Music emotion classification and context-based music recommendation
Context-based music recommendation is one of rapidly emerging applications in the advent
of ubiquitous era and requires multidisciplinary efforts including low level feature extraction …
of ubiquitous era and requires multidisciplinary efforts including low level feature extraction …
A convex model for nonnegative matrix factorization and dimensionality reduction on physical space
A collaborative convex framework for factoring a data matrix X into a nonnegative product
AS, with a sparse coefficient matrix S, is proposed. We restrict the columns of the dictionary …
AS, with a sparse coefficient matrix S, is proposed. We restrict the columns of the dictionary …
Time–frequency matrix feature extraction and classification of environmental audio signals
Audio feature extraction and classification are important tools for audio signal analysis in
many applications, such as multimedia indexing and retrieval, and auditory scene analysis …
many applications, such as multimedia indexing and retrieval, and auditory scene analysis …
Music genre classification and recommendation by using machine learning techniques
A Elbir, HB Çam, ME Iyican, B Öztürk… - 2018 Innovations in …, 2018 - ieeexplore.ieee.org
Music genre prediction is one of the topics that digital music processing is interested in. In
this study, acoustic features of music have been extracted by using digital signal processing …
this study, acoustic features of music have been extracted by using digital signal processing …