Results 71 to 80 of about 10,017 (167)

Co-occurrence Models in Music Genre Classification

open access: yes, 2005
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
openaire   +1 more source

Music genre classification with modified residual learning and dual neural network. [PDF]

open access: yesPLoS One
Ashraf M   +5 more
europepmc   +1 more source

Music Genre Classification: Training an AI model

open access: yes
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 ...
openaire   +2 more sources

Identifying and characterizing ideologically homogeneous clusters on Twitter and Parler during the 2020 election. [PDF]

open access: yesPLoS One
Verdear D   +11 more
europepmc   +1 more source

"And now we solve this mystery..."("Mozart and Salieri" by A. S. Pushkin: genre-generic specificity). Lesson-analysis in the ninth grade

open access: yesФилологический класс, 2007
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]

open access: yesNat Commun
Denk TI   +6 more
europepmc   +1 more source

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