Texture selection for automatic music genre classification
نویسندگان
چکیده
منابع مشابه
Automatic Music Genre Classification
1 – Introduction In this work, we are presenting our approach to automatic genre classification for music files, or songs, which consists of audio files represented by a time series data, where the goal is to automatically process the files, to establish a genre assignment. Such applications that require automatic genre classification include internet radio stations that play similar songs base...
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In this paper we present an analysis of the suitability of four different feature sets which are currently employed to represent music signals in the context of the automatic music genre classification. To such an aim, feature selection is carried out through genetic algorithms, and it is applied to multiple feature vectors generated from different segments of the music signal. The feature sets...
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Automatic classification of music pieces by genre is one of the crucial tasks in music categorization for intelligent navigation. In this work we present a multiExpert genre classification system based on acoustic, musical and timbre features. A novel rhythmic characteristic, 2D beat histogram is used as high-level musical feature. Timbre features are extracted by multiple-f0 detection algorith...
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Machine learning techniques for automated musical genre classification is currently widely studied. With large collections of digital musical files, one approach to classification is to classify by musical genres such as pop, rock and classical in Western music. Beat, pitch and temporal related features are extracted from audio signals and various machine learning algorithms are applied for cla...
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This paper proposes an approach to automatic music genre classification using deep belief networks. Based on the restricted Boltzmann machines, the deep belief networks is constructed and takes the acoustic features extracted through content-based analysis of music signals as input. The model parameters are initially determined after the deep belief network is trained by greedy layer-wise learn...
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ژورنال
عنوان ژورنال: Applied Soft Computing
سال: 2020
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2020.106127