In general music composed by recurrent neural networks (RNNs) suffers from a lack of global structure. Though networks can learn note-by-note transition probabilities and even reproduce phrases, they have been unable to learn an entire musical form and use that knowledge to guide composition. In this study, we describe model details and present experimental results showing that LSTM successfull...

Art and science have intimate connections, although these are often underappreciated. Western music provides compelling examples. The sensation of harmony and related melodic development are rooted in physical principles that can be understood with simple mathematics. The focus of this review is not the better known acoustics of instruments, but the structure of music itself. The physical basis...

Is chromatic discrimination enhanced at the boundary between different hues? In previous studies, we gave a positive answer for the case of the locus of unique blues and yellows, the boundary that divides color space into reddish and greenish hues. But we did not find enhancement at the locus of unique green, the boundary between yellowish and bluish hues. In the present study, we examined disc...

Maternity blues and postpartum depression are common mental health problems during the early postpartum period. However, few studies have examined the factors associated with maternity blues and postpartum depression in healthy mothers with spontaneous births of healthy full-term infants. This study aimed to determine the demographic and obstetric factors, various feelings during pregnancy, and...

Courses MUSC 101D | AMERICAN MUSIC Units: 3 This course will explore a variety of musical styles and practices from the late 1800s to the present, including blues, jazz, folk, rock, musical theater, art music, and the many faces of popular music. Historical and cultural aspects will be examined in order to better understand how political events, cultural values, social norms, and racial and gen...

This project applies Zipf's law on musical pieces encoded in MIDI. Our hypothesis is that this will allow us to identify musical pieces that humans find “pleasing, beautiful, harmonious.” Specifically, we have identified an initial set of attributes (metrics) of music pieces on which to apply Zipf’s law. These metrics include pitch of musical events, duration of musical events, the combination ...