Background and Purpose: Due to adverse effects of cancer on children's mental health, relaxation, chemotherapy side-effects and positive effects of music therapy on stress, this study was performed with the goal to determine the effect of music therapy on children's stress after chemotherapy. Methods: The present study is a randomized clinical trial done on 32 children undergoing cancer chem...

In this paper we study the problem of automatic music tag annotation. Treating tag annotation as a computational classification process, we attempt to explore the relationship between acoustic features and music tags. Toward this end, we conduct a series of empirical experiments to evaluate a set of multi-label classifiers and demonstrate which ones are more suitable for music tag annotation. F...

Listening to music has been found to reduce acute and chronic pain. The underlying mechanisms are poorly understood; however, emotion and cognitive mechanisms have been suggested to influence the analgesic effect of music. In this study we investigated the influence of familiarity, emotional and cognitive features, and cognitive style on music-induced analgesia. Forty-eight healthy participants...

a bstr act The question of emotion in music is addressed from a linguistic perspective, providing a typology of statements that can be made about that topic. In particular, it is analyzed how an interlocutor could react to such statements uttered by another person, and whether or how the content of the statements could be refuted by the listener, and possibly corroborated by the speaker. Furthe...

This position paper describes the initial research assumptions to improve music recommendations by including personality and emotional states. By including these psychological factors, we believe that the accuracy of the recommendation can be enhanced. We will give attention to how people use music to regulate their emotional states, and how this regulation is related to their personality. Furt...

− The concept of similarity is important for many data mining related applications such as content-based music retrieval. Defining similarity can be very difficult if several aspects are involved. For example, music similarity depends on the melody, rhythm, or instruments. The Self-Organizing Map is a powerful tool to visualize how the data looks like from a certain perspective of similarity. I...

In treating the subject of musical language, a Persian musician would be intrinsically drawn to the structural similarities between the Persian music and language. Indeed Persian music and language are extremely related in their metrics, intonations and structural phrases (syntax). Although we will draw upon this relationship, our aim in this article is to present “music as a language,” c...

Paths drawn to a Music Map are used to quickly and intuitively create playlists by drawing figures onto the map surface. In this paper the correlation between the quality of a playlist and its visual shape on a Music Map is investigated. A series of amateur and professional playlists together with generated playlists are analysed according to their visualisation on a Music Map. Furthermore, the...

This study explores how music industry and consumers perceive marketing actions in social media. We employ four case studies and one focus group in the empirical research. The results demonstrate that the music industry utilizes social media to establish communities, advertise new artists and songs, promote concerts and uploads videos to get visibility for their brand. Furthermore, consumers pe...

In this paper, the automated detection of emotion in music is modeled as a multilabel classification task, where a piece of music may belong to more than one class. Four algorithms are evaluated and compared in this task. Furthermore, the predictive power of several audio features is evaluated using a new multilabel feature selection method. Experiments are conducted on a set of 593 songs with ...