Genre Classification of Traditional Malay Music Using Spectrogram Correlation
نویسندگان
چکیده
منابع مشابه
A Study on Feature Selection and Classification Techniques for Automatic Genre Classification of Traditional Malay Music
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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Machine learning techniques for automated musical genre classification are 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 cl...
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A song can be represented by a graph, where nodes and edges represent individual pitchduration tuples and co-occurrence of multiple notes respectively. A set of features can be derived from said graph for use in a variety of classification algorithms. In an attempt to derive meaning and utility from these graph features, we tackled the issue of genre classification–a highly subjective form of c...
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As the demand for multimedia grows, the development of information retrieval systems including information about music is of increasing concern. Radio stations and music TV channels hold archives of millions of music tapes. Gigabytes of music files are also spread over the web. To automate searching and organizing the music files based on their genre is a challenging task. In this report, we pr...
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Automatic genre classification aims to correctly categorize an unknown recording with a music genre. Recent studies use the Kullback-Leibler (KL) divergence to estimate music similarity then perform classification using k-nearest neighbours (k-NN). However, this approach is not practical for large databases. We propose an efficient genre classifier that addresses the scalability problem. It use...
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ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i4.11.20683