Results 31 to 40 of about 2,341,143 (329)
Specialist’s communicative competence: genre aspect
INTRODUCTION. For the needs of higher education, it is necessary to have a description of all the rhetorical genres in demand in the relevant professional communication, as a specialist's communicative competence directly depends on their ability to use ...
T. V. Anisimova
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Network representations of drum sequences for classification and generation
Complex networks have emerged as a powerful framework for understanding and analyzing musical compositions, revealing underlying structures and dynamics that may not be immediately apparent.
Daniel Gómez-Marín +3 more
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Multimodal Music Genre Classification of Sotho-Tswana Musical Videos
Music genre classification is a fundamental task in music information retrieval, aimed at discerning the categorical placement, or genre, of a given musical piece.
Osondu E. Oguike, Mpho Primus
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Automatic Genre Classification of Musical Signals
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.
Amauri Lopes, Jayme Garcia Arnal Barbedo
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Inaccurate Prediction or Genre Evolution? Rethinking Genre Classification
The existing MIR research on genre classification primarily focuses on how to classify a song into the "correct" genre while downplaying the fact that genres mutate over time and in response to social change in terms of their musical properties. Songs claiming the same genre can sound very different if they are released years apart, and genres may ...
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Abstract: This review documents a reproducible pipeline for automatic Indian music genre recognition that converts short (≈30 s) audio clips into spectral features and evaluates multiple classical classifiers. The implemented workflow covers dataset organization, FFT‑based feature extraction (the first 2000 frequency bins saved as reusable .npy files),
null Dnyaneshwari Shinde +1 more
+4 more sources
Dissecting the genre of Nigerian music with machine learning models
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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ABSTRACT In her 2024 paper Are Australian students' academic skills declining? Interrogating 25 years of national and international standardised assessment data, Larsen compiled an impressive summary of major international (PISA, PIRLS and TIMSS) and national (NAPLAN) standardised assessments pertaining to literacy and numeracy.
Pamela C. Snow +9 more
wiley +1 more source
The goal of music genre classification is to identify the genre of given feature vectors representing certain characteristics of music clips. In addition, to improve the accuracy of music genre classification, considerable research has been conducted on ...
Wangduk Seo +3 more
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Inter Genre Similarity Modeling For Automatic Music Genre Classification [PDF]
Music genre classification is an essential tool for music information retrieval systems and it has been finding critical applications in various media platforms. Two important problems of the automatic music genre classification are feature extraction and classifier design.
Ulas Bagci, Engin Erzin
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