Structure is one of the fundamentals of music, yet the complexity arising from the vast number of possible variations of musical elements such as rhythm, melody, harmony, key, texture and form, along with their combinations, makes music modelling a particularly challenging task for machine learning. The research presented in this thesis focuses on the problem of learning a generative model for ...

This paper describes the JKU-Tinnitus submission to the “Emotion in Music” task [1] of the 2015 MediaEval Benchmark. Given a set of manually annotated music and a set of features for each music file, machine learning algorithms are applied to estimate the development of emotional arousal and valence over the course of a piece of music. Our pipeline roughly contains feature extraction from the m...

Music is one of the human needs influenced by cultural and social factors. The aim of the present study was to investigate the sociological factors of intergenerational differences in the orientation towards music in the old and new generations (case study of Bushehr).The research method was survey and data were collected using a questionnaire.The research sample consisted of 247 people aged 15...

This research was done in order to describe the content of proposed lyrics’ concepts in permissible pop music based on published audio works’ list of music publication office in 2009 among 200 albums of music office published audio works,  the 10 number of pop singers were randomly selected and the lyrics’ concept of 70 music were also investigated. In the process of data analysis in the first ...

Introduction: It has shown that listening to Mozart music can potentiate spatial tasks in human and reduce seizure attacks in epileptic patients. A few studies have reported the effects of prenatal plus postpartum exposure of mice to the Mozart music on brain-drived neurotrophic factor (BDNF) in the hippocampus. Here we investigated the effect of postpartum exposure to The Mozart music on BDNF ...

As more and more music therapy graduates have to create jobs for themselves and start programs from scratch, there is a need for music therapists to have skills in designing programs for a wide range of facilities and client groups. This paper empirically describes the design, development and co-ordination of a music therapy program in a Therapeutic Community (TC) for substance dependent adults...

Separation of music signals is an interesting but difficult problem. It is helpful for many other music researches such as audio content analysis. In this paper, a new music signal separation method is proposed, which is based on harmonic structure modeling. The main idea of harmonic structure modeling is that the harmonic structure of a music signal is stable, so a music signal can be represen...

This paper presents the performance analysis of direction of arrival estimation algorithm modified MUSIC algorithm. We present the description, comparison and the performance and high resolution analyses of these algorithms. The estimator is based upon a linear algebraic connection between the standard subspace model of the array correlation matrix and a special signal interference model. It is...

We present a novel method for searching for unknown music. RhythMiXearch is a music search system we developed that can accept two music inputs and mix those inputs to search for music that could reasonably be a result of the mixture. This approach expands the ability of Query-by-Example and allows greater flexibility for users in finding unknown music. Each music piece stored by our system is ...