7 resultados para Différences de genre
em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"
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Musical genre classification has been paramount in the last years, mainly in large multimedia datasets, in which new songs and genres can be added at every moment by anyone. In this context, we have seen the growing of musical recommendation systems, which can improve the benefits for several applications, such as social networks and collective musical libraries. In this work, we have introduced a recent machine learning technique named Optimum-Path Forest (OPF) for musical genre classification, which has been demonstrated to be similar to the state-of-the-art pattern recognition techniques, but much faster for some applications. Experiments in two public datasets were conducted against Support Vector Machines and a Bayesian classifier to show the validity of our work. In addition, we have executed an experiment using very recent hybrid feature selection techniques based on OPF to speed up feature extraction process. © 2011 International Society for Music Information Retrieval.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Letras - IBILCE
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Ce travail est consacré sur la perspective dialogique d'étude d'un type de texte assez bien populaire sur les médias numériques; appelés par chaîne, il s'agit des messages qui sont transmises par e-mail de façon très rapide et de large propagation parmi ses usagers. La recherche a par objective principal analyser les discours véhiculés par les appelés chaînes, en abordant ses thèmes plus recourants, liées aux concepts de dialogue et genre, présents sur les travaux du Circule de Bakhtine. Par constitution du corpus ils sont allés sélectionnées des chaînes transmises par e-mail entre les années de 2009 et 2011. Dans l'analyse du matériel collecté on a découvert des différences plus généralistes que nous ont permis sa organisation en trois différents grands thèmes: religieuse, relations et utilité publique. Les chaînes composées par la thématique religieuse amènent une mode d’interpellation assez très incisif, direct et explicite à son destinataire, pour qu'il puisse renvoyer le message reçu à des autres destinataires. Il s'agit d'un appel, souvent, coactif et menaçant, avec le but aussi de persuader le destinataire à adhérer au discours religieux contenu dans le message. Le discours religieux des chaînes est configuré d'une façon de défi, ou test, pour lesquelles il y a une promesse de récompense. Le deuxième type de chaîne analysé explore le thème des relations homme/femme et interpelle son destinataire d'une façon suggestionné et non coercitive
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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 the classifier architecture. Tests were carried out with three styles of music, namely blues, classical, and lounge, which are considered informally by some musicians as being “big dividers” among music genres, showing the efficacy of the proposed algorithms and establishing a relationship between the relevance of each set of parameters for each music style and each classifier. In contrast to other works, entropies and fractal dimensions are the features adopted for the classifications.
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Research articles in national and international journals provide abstracts usually written in English. This paper discusses the importance of working with this sub-genre with future researchers and translators during their university years. Two concepts of genre are presented (SWALES, 1990; BATHIA, 1993), as well as an approach on how to introduce academic genre to undergraduate students. After applying this approach to a mini-course about academic writing, we have noted that translation students have been more attentive to the way they deal with texts based on communicative purposes, tasks, target readers and language.