Results 31 to 40 of about 87,060 (221)
Non-Negative Tensor Factorization Applied to Music Genre Classification [PDF]
, 2010 Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings.
Benetos, E., Kotropoulos, C.
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The Latin Music Database [PDF]
, 2008 In this paper we present the Latin Music Database, a novel database of Latin musical recordings which has been developed for automatic music genre classification, but can also be used in other music information retrieval tasks.
Kaestner, Celso A.A. +2 more
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Neural Network Music Genre Classification [PDF]
Canadian Journal of Electrical and Computer Engineering, 2019 Music genre classification utilizing neural networks has achieved some limited success in recent years. Differences in song libraries, machine learning techniques, input formats, and types of neural networks implemented have all had varying levels of success. This paper reviews some of the machine learning techniques utilized in this area.
Nikki Pelchat, Craig M. Gelowitz
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Improving music genre classification using automatically induced harmony rules [PDF]
, 2010 We present a new genre classification framework using both low-level signal-based features and high-level harmony features. A state-of-the-art statistical genre classifier based on timbral features is extended using a first-order random forest containing
Anglade, A. +3 more
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Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification [PDF]
, 2008 Artificial Immune Recognition System (AIRS) has shown an effective performance on several machine learning problems. In this study, the resource allocation method of AIRS was changed with a nonlinear method.
C. Doraisamy, Shyamala +4 more
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Beat histogram features from NMF-based novelty functions for music classification [PDF]
, 2015 In this paper we present novel rhythm features derived from drum tracks extracted from polyphonic music and evaluate them in a genre classification task. Musical excerpts are analyzed using an optimized, partially fixed Non-Negative Matrix Factorization (
Lerch, Alexander +2 more
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Automatic Genre Classification of Musical Signals [PDF]
EURASIP Journal on Advances in Signal Processing, 2006 We present a strategy to perform automatic genre classification of musical signals. The technique divides the signals into 21.3 milliseconds frames, from which 4 features are extracted. The values of each feature are treated over 1-second analysis segments.
Jayme Garcia Arnal Barbedo, Amauri Lopes
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Dissecting the genre of Nigerian music with machine learning models
Journal of King Saud University: Computer and Information Sciences, 2022 Music Information Retrieval (MIR) is the task of extracting high-level information, such as genre, artist or instrumentation from music. Genre classification is an important and rapidly evolving research area of MIR.
Sakinat O. Folorunso +2 more
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Applied Artificial Intelligence, 2023 In this paper, we present an approach to improve the effectiveness of automatic classification of music genres by integrating emotion and intelligent algorithms.
Jianwen Liu
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Automated Music Genre Classification through Deep Learning Techniques [PDF]
E3S Web of Conferences, 2023 Music Genre Classification (MGC) automatically categorizes music into different genres based on various musical attributes and features in a small number of music files. This is a crucial problem in the field of music information retrieval as it provides
Kiran Kumar Mamidi +5 more
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