Lately there has been a significant boost of interest in music digital libraries, which constitute an attractive area of research and development due to their inherent interesting issues and challenging technical problems, solutions to which will be highly appreciated by enthusiastic end-users. We present here a DL that we have developed to support users in their quest for classical music piece...

the aim of this study was to investigate the effect of moderate rhythm of music on perceived exertion and heart rate during different intensities of endurance training in young male athletes. 10 male athletic students (mean + sd age 21.6±2.60 years) were voluntarily selected. the present study was conducted in a crossover design with and without music. the results showed no significant differen...

the aim of this study was to investigate the effect of different music rhythms on cardio respiratory responses during incremental exercises in young men. for this purpose, 17 non-athlete healthy males (ages: 19.76±0.97 yr, height: 176±6.72 cm, weight: 68.5±5.95 kg) voluntarily participated in this study. they performed bruce protocol until exhaustion with no music, slow music and fast music con...

Given a piece of music, the timing of each beat varies from performer to performer. The study of these small differences is known as expressive timing analysis. Research into expressive timing helps us to understand human perception of music and the production of enjoyable music. Classical piano music is one music style where it is possible to measure expressive timing and hence provides a prom...

The dynamic hierarchical Dirichlet process (dHDP) is developed to model complex sequential data, with a focus on audio signals from music. The music is represented in terms of a sequence of discrete observations, and the sequence is modeled using a hidden Markov model (HMM) with time-evolving parameters. The dHDP imposes the belief that observations that are temporally proximate are more likely...

Music generation remains an attractive and interesting application of machine learning since it is typically characterized by human ingenuity and creativity. Moreover, given the high-dimensionality of time-series data, it is difficult to construct a model that has the representational power necessary to capture the timeand note-invariant patterns throughout a musical piece. In this paper, we de...

In recent years, there has been growing focus on the study of automated recommender systems. Music recommendation systems serve as a prominent domain for such works, both from an academic and a commercial perspective. To our knowledge, most of these systems focus on predicting the preference of individual songs independently based on a learned model of a listener. However, a relatively well kno...

In general, sad music is thought to cause us to experience sadness, which is considered an unpleasant emotion. As a result, the question arises as to why we listen to sad music if it evokes sadness. One possible answer to this question is that we may actually feel positive emotions when we listen to sad music. This suggestion may appear to be counterintuitive; however, in this study, by dividin...

This thesis first takes a broad look at various music similarity measures in the literature, and then focuses on two different model-free music similarity measures and evaluates them. The term model-free in this context indicates that these music similarity measures use few or no background knowledge about music whatsoever, they are more general compared with other approaches and can, with litt...