An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genres. [PDF]
Yao G, Fan L.
europepmc +1 more source
Serial cascaded hybrid adaptive deep networks-based lyrics text classification using optimization approach. [PDF]
Jasmine RL +3 more
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The Influence of Text Genre on Eye Movement Patterns During Reading. [PDF]
Markevich M, Streltsova A.
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Co-occurrence Models in Music Genre Classification
Music genre classification has been investigated using many different methods, but most of them build on probabilistic models of feature vectors x\_r which only represent the short time segment with index r of the song. Here, three different co-occurrence models are proposed which instead consider the whole song as an integrated part of the ...
Ahrendt, Peter +2 more
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Music genre classification with modified residual learning and dual neural network. [PDF]
Ashraf M +5 more
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Music Genre Classification: Training an AI model
Music genre classification is an area that utilizes machine learning models and techniques for the processing of audio signals, in which applications range from content recommendation systems to music recommendation systems. In this research I explore various machine learning algorithms for the purpose of music genre classification, using features ...
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Study protocol for PIANo-1: Personalized Investigation of music's effect on Attention in a series of N-of-1 trials. [PDF]
Gärtner T +3 more
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Identifying and characterizing ideologically homogeneous clusters on Twitter and Parler during the 2020 election. [PDF]
Verdear D +11 more
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The article presents a model of a lesson on genre and typical specificity of «Mozart and Salieri» by A. S. Pushkin, genre form of «little tragedy» as artistic researching one passion, approaches to Pushkin's understanding of nature of human genius.
doaj
Text-to-music generation models capture musical semantic representations in the human brain. [PDF]
Denk TI +6 more
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