Music emotion recognition (MER) field rapidly expanded in the last decade. Many new
methods and new audio features are developed to improve the performance of MER …

Electroencephalography (EEG)-based emotion classification during music listening has
gained increasing attention nowadays due to its promise of potential applications such as …

In this paper, we adapt triplet neural networks (TNNs) to a regression task, music emotion
prediction. Since TNNs were initially introduced for classification, and not for regression, we …

Music makes our life lovely because it can affect our mental states significantly with its
emotional information inside. Different people might be affected differently from the same …

This paper describes a novel method for estimating the emotions elicited by a piece of music
from its acoustic signals. Previous research in this field has centered on finding effective …

A short fiction story called 'The Fog Horn'by Ray Bradbury is set far in the sea on a
lighthouse, which emits red and white light and a sound, called the 'Voice', to warn the …

In recent years, the music recommendation systems and dynamic generation of playlists
have become extremely promising research areas. Thanks to the widespread use of the …

Electroencephalography (EEG)-based emotion classification during music listening has
gained increasing attention nowadays due to its promise of potential applications such as …

As one of the most classic human inventions, music appeared in many artworks, such as
songs, movies and theatres. It can be seen as another language, used to express the …

(57) ABSTRACT A system, method, and computer program for estimation of a target value,
which can change the aggregation of estimation results based on the degrees of confidence …