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Semi-Supervised Music Genre Classification
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007Music genre classification is a hot topic in pattern recognition and signal processing. Classical supervised methods need lost of labeled music data to train a classifier. In this paper, we propose a semi-supervised genre classification algorithm which is developed on several labeled music tracks and lots of unlabelled tracks.
Yangqiu Song +2 more
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Genre classification of symbolic pieces of music
Journal of Intelligent Information Systems, 2016Automatic classification of music is a complex and interesting research problem due to the difficulties that arise when determining the musical features that should be considered for classification and the characteristics that define each particular genre.
Marcelo Gabriel Armentano +2 more
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Exploiting genre for music emotion classification
2009 IEEE International Conference on Multimedia and Expo, 2009Genre and emotion have been applied to content-based music retrieval and organization; however, the intrinsic correlation between them has not been explored. In this paper we present a statistical association analysis to examine such intrinsic correlation and propose a two-layer scheme that exploits the correlation for emotion classification ...
Yu-Ching Lin +4 more
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Musical genre classification of audio signals
IEEE Transactions on Speech and Audio Processing, 2002Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its members. These characteristics typically are related to the instrumentation, rhythmic structure, and harmonic content of the music.
George Tzanetakis, Perry R. Cook
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Music Genre Classification ChatBot
2021Classification of music on the basis of genre is a sub-domain of the multidisciplinary field of music information retrieval (MIR) that is gaining traction among researchers and data scientists. Even though this problem has been extensively researched and tested, the problem still lies in the foundations, as the true definition of genre still lies to ...
Rishit Jain +3 more
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Genre Based Classification of Hindi Music
2019The emotional content perceived from music has great impact on human beings. Research related to music is attaining more and more recognition not only in the field of musicology and psychology but also getting attention of engineers and doctors. The categorization of music can be carried out by considering various attributes such as genres, emotional ...
Deepti Chaudhary +2 more
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Music Classification Based on Genre and Mood
2017The advent of internet and the growing number of digital media has increased the necessity of Music Information Retrieval systems within which Music Classification is a prominent task. Here, we present methods to perform genre based classification over five different genre and mood based classification using a mood model that maps mood onto a two ...
Ayush Shakya +4 more
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Music genre classification with word and document vectors
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017In these days, music genre classification (MGC) is a quite popular research field. The main goal of the MGC studies is automatically detecting music genre (eg., rap, rock). In literature, features are generally extracted from the music's melodic content or lyrics for this task. In this study, we have performed lyrics based MGC on a Turkish dataset.
ÇOBAN, Önder, KARABEY, IŞIL
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Music genre classification from Turkish lyrics
2016 24th Signal Processing and Communication Application Conference (SIU), 2016The amount of music in digital form increases due to the improvement of internet and recording technologies. With this increase, the automatic organization of musics has emerged as a problem needs to be solved. For this reason, Music Information Retrieval (MIR) is commonly studied research area in recent years. In this context, with the developed Music
ÇOBAN, Önder +1 more
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Music genre classification with machine learning techniques
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017The aim of this work is to predict the genres of songs by using machine learning techniques. For this purpose, feature extraction is done by using signal processing techniques, then machine learning algorithms are applied with those features to do a multiclass classification for music genres.
Ali Karatana, Oktay Yildiz
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