Clasificación musical según emociones mediante técnicas de Deep Learning
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2024-03-05
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Jaén: Universidad de Jaén
Resumen
Son muchas las aplicaciones reales que necesitan utilizar sistemas inteligentes para la extracción de conocimiento a
partir de los datos que generan. La música constituye una de las grandes fuentes de datos ya que en los últimos años su
distribución en streaming, a través de plataformas como Spotify, ha crecido de forma exponencial. Es bien conocido el
hecho de que la música suscita emociones al ser escuchada y es interesante que las canciones estén etiquetadas de
acuerdo a las emociones que transfieren. Esta clasificación ayuda a los usuarios de aplicaciones digitales a la elección
de música. El objetivo en este trabajo es el estudio y análisis de métodos basados en deep learning para la clasificación
musical según las emociones generadas en los usuarios.
There are many real-world applications that need to use intelligent systems to extract knowledge from the data they generate. from the data they generate. Music is one of the one of the big sources of data, as in recent years, streaming music its streaming distribution, through platforms such as Spotify, has grown exponentially. Spotify, has grown exponentially. It is well known that music arouses emotions when listened to and it is interesting that songs are and it is interesting that songs are labelled according to according to the emotions they convey. his classification helps users of digital applications to choose music. applications in their choice of music. The aim of this work is the study and analysis of methods based on deep learning for the classification of music according to the emotions generated in the users.
There are many real-world applications that need to use intelligent systems to extract knowledge from the data they generate. from the data they generate. Music is one of the one of the big sources of data, as in recent years, streaming music its streaming distribution, through platforms such as Spotify, has grown exponentially. Spotify, has grown exponentially. It is well known that music arouses emotions when listened to and it is interesting that songs are and it is interesting that songs are labelled according to according to the emotions they convey. his classification helps users of digital applications to choose music. applications in their choice of music. The aim of this work is the study and analysis of methods based on deep learning for the classification of music according to the emotions generated in the users.