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2023 Computer Applications & Technological Solutions (CATS), 2023
With the growth of online music databases and easy access to music content, people find it increasing hard to manage the songs that they listen to. Music genre classification is a vital activity that involves categorizing music genres from audio data. In the field of music information retrieval, music genre classification is frequently utilized.
Anantha Krishna G.K +4 more
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With the growth of online music databases and easy access to music content, people find it increasing hard to manage the songs that they listen to. Music genre classification is a vital activity that involves categorizing music genres from audio data. In the field of music information retrieval, music genre classification is frequently utilized.
Anantha Krishna G.K +4 more
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ELM for the Classification of Music Genres
2006 9th International Conference on Control, Automation, Robotics and Vision, 2006As we produce more digital music, they need to be organized into various classes of music for easy search and retrieval operations. Various classifiers can be employed to carry out the classification. This paper evaluates the performance of Extreme Learning Machine (ELM) as a classifier in the field of music classification.
Qi-Jun Benedict Loh, Sabu Emmanuel
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Music Genre Classification with Taxonomy
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006Automatic music genre classification is a fundamental component of music information retrieval systems and has been gaining importance and enjoying a growing amount of attention with the emergence of digital music on the Internet. Although considerable research has been conducted in automatic music genre classification, little has been done on ...
Tao Li 0001, Mitsunori Ogihara
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Music Genre Classification with Transformer Classifier
Proceedings of the 2020 4th International Conference on Digital Signal Processing, 2020Music Genre Classification is a significant and practical field of Music Information Retrieval. Deep learning is increasingly being applied to Music Genre Classification for two main reasons. Firstly, it avoids the manual selection of audio signal features.
Yingying Zhuang +2 more
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Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, 2018
In this paper, we report our initial investigations on the genre classification problem in Music Information Retrieval. Each music genre has its unique characteristics, which distinguish it from other genres. We adapt association analysis and use it to capture those characteristics using acoustic features, i.e., each genre's characteristics are ...
Adam Lefaivre, John Z. Zhang
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In this paper, we report our initial investigations on the genre classification problem in Music Information Retrieval. Each music genre has its unique characteristics, which distinguish it from other genres. We adapt association analysis and use it to capture those characteristics using acoustic features, i.e., each genre's characteristics are ...
Adam Lefaivre, John Z. Zhang
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On Efficient Music Genre Classification
2005Automatic music genre classification has long been an important problem. However, there is a paucity of literature that addresses the issue, and in addition, reported accuracy is fairly low. In this paper, we present empirical study of a novel music descriptor generation method for efficient content based music genre classification.
SHEN, Jialie, John, Shepherd, Ahh, Ngu
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Genre classification of music by tonal harmony
Intelligent Data Analysis, 2010In this paper we present a genre classification framework for audio music based on a symbolic classification system. Audio signals are transformed into a symbolic representation of harmony using a chord transcription algorithm, based on the computation of harmonic pitch class profiles.
Carlos Pérez-Sancho +5 more
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MML Classification of Music Genres
2003Inference of musical genre, whilst seemingly innate to the human mind, remains a challenging task for the machine learning community. Online music retrieval and automatic music generation are just two of many interesting applications that could benefit from such research.
Adrian C. Bickerstaffe, Enes Makalic
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Genre classification of symbolic music with SMBGT
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013Automatic music genre classification is a task that has attracted the interest of the music community for more than two decades. Music can be of high importance within the area of assistive technologies as it can be seen as an assistive technology with high therapeutic and educational functionality for children and adults with disabilities.
Kotsifakos, Alexios +4 more
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Boosting Classifiers for Music Genre Classification
2006 IEEE 14th Signal Processing and Communications Applications, 2005This paper investigates discriminative boosting of classifiers to improve the automatic music genre classification performance. Two classifier structures, boosting of the Gaussian mixture model based classifiers and classifiers that are using the inter-genre similarity information, are proposed. The first classifier structure presents a novel extension
Ulas Bagci, Engin Erzin
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