A fundamental problem in music is to classify songs according to their rhythm. A rhythm is represented by a sequence of “Quick” (Q) and “Slow” (S) symbols, which correspond to the (relative) duration of notes, such that S = QQ. In this paper we present a linear algorithm for locating the maximum-length substring of a music text t that can be covered by a given rhythm r. An efficient algorithm t...

Lime is a music editor, oriented to the production of printed music. A user manipulates the information content of the music notation, while viewing the physical appearance of the notation. To implement this, Lime must perform a complex translation from an abstract musical source representation to a graphical product. Techniques are discussed for providing automation without loss of customizabi...

The "Mozart effect" refers to claims that people perform better on tests of spatial abilities after listening to music composed by Mozart. We examined whether the Mozart effect is a consequence of between-condition differences in arousal and mood. Participants completed a test of spatial abilities after listening to music or sitting in silence. The music was a Mozart sonata (a pleasant and ener...

Music-to-color associations show emotionally-mediated cross-modal correspondences (Palmer et al., 2013): people choose colors as going best with music when their emotional content matches (e.g., happy-looking colors go best with happysounding music). What musical/acoustic features underlie such correspondences? And are music-to-texture correspondences also evident? Experiments using highly-cont...

We want to use a variety of sparseness measured applied to ‘the minimal `1 norm representation’ of a music signal in an over-complete dictionary as features for automatic classification of music. Unfortunately, the process of computing the optimal `1 norm representation is rather slow, and we therefore investigate the use of matching pursuit, alternating projection, and Moore-Penrose inverse fo...

We present a system that generates arm dancing motion to new music tracks, based on sample motion captured data of dancing to other pieces of music. Rather than adapting existing motion, as most music-animation systems do, our system is novel in that it analyzes both the supplied motion and music data for certain characteristics (eg. melodic contour, loudness, etc), and learns relationships bet...

This study used the psychophysical approach to investigate the impact of tempo and volume of background music on the maximum acceptable weight of lift (MAWL), heart rate (HR) and rating of perceived exertion (RPE) of participants engaged in lifting. Ten male college students participated in this study. They lifted a box from the floor, walked 1-2 steps as required, placed the box on a table and...

A fundamental problem in music is to classify songs according to their rhythm. A rhythm is represented by a sequence of “Quick” (Q) and “Slow” (S) symbols, which correspond to the (relative) duration of notes, such that S = 2Q. In this paper, we present an efficient algorithm for locating the maximum-length substring of a music text t that can be covered by a given rhythm r.

Perinatal sensory experience plays an important role in the development of perceptual preferences. In the present study prenatal enrichment with sound stimulus was given to see its effect on the development of postnatal auditory preference. Auditory stimulation with either species-specific (chicken maternal and hatching calls) or music (slow and fast sitar music) sounds was provided to two sepa...