Previous brain-related studies on music-evoked emotions have relied on listening to long music segments, which may reduce the precision of correlating emotional cues to specific brain areas. Break routines in electronic dance music (EDM) are emotive but short music moments containing three passages: breakdown, build-up, and drop. Within build-ups music features increase to peak moments prior to highly expected drop passages and peak-pleasurable emotions when these expectations are fulfilled. The neural correlates of peak-pleasurable emotions (such as excitement) in the short seconds of build-up and drop passages in EDM break routines are therefore good candidates to study brain correlates of emotion. Thirty-six participants listened to break routines while undergoing continuous EEG. Source reconstruction of EEG epochs for one second of build-up and of drop passages showed that pre- and post-central gyri and precuneus were more active during build-ups, and the inferior frontal gyrus (IFG) and middle frontal gyrus (MFG) were more active within drop passages. Importantly, IFG and MFG activity showed a correlation with ratings of subjective excitement during drop passages. The results suggest expectation is important in inducing peak-pleasurable experiences and brain activity changes within seconds of reported feelings of excitement during EDM break routines.

Some researchers and study participants have expressed an intuition that novel rhythmic sequences are easier to recall and reproduce if they have a melody, implying that melodicity (the presence of musical pitch variation) fundamentally enhances perception and/or representation of rhythm. But the psychoacoustics literature suggests that pitch variation often impairs perception of temporal information. To examine the effect of melodicity on rhythm reproduction accuracy, we presented simple nine-note auditory rhythms to 100 college students, who attempted to reproduce those rhythms by tapping. Reproductions tended to be more accurate when the presented notes all had the same pitch than when the presented notes had a melody. Nonetheless, a plurality of participants judged that the melodically presented rhythms were easier to remember. We also found that sequences containing a Scotch snap (a sixteenth note at a quarter note beat position followed by a dotted eighth note) were reproduced less accurately than other sequences in general, and less accurately than other sequences containing a dotted eighth note.

The most recognizable features of the jazz phrasing style known as “swing” is the articulation of tactus beat subdivisions into long-short patterns (known as “swing eighths”). The subdivisions are traditionally assumed to form a 2:1 beat-upbeat ratio (BUR); however, several smaller case studies have suggested that the 2:1 BUR is a gross oversimplification. Here we offer a more conclusive approach to the issue, offering a corpus analysis of 456 jazz solos using the Weimar Jazz Database. Results indicate that most jazz soloists tend to play with only slightly uneven swing eighths (BUR = 1.3:1), while BURs approaching 2:1 and higher are only used occasionally. High BURs are more likely to be used systematically at slow and moderate tempi and in Postbop and Hardbop styles. Overall, the data suggests that a stable 2:1 swing BUR for solos is a conceptual myth, which may be based on various perceptual effects. We suggest that higher BURs are likely saved for specific effect, since higher BURs may maximize entrainment and the sense of groove at the tactus beat level among listeners and performers. Consequently our results contribute with insights relevant to jazz, groove, and microrhythm studies, practical and historical jazz research, and music perception.

In this study, the robustness of an online tool for objectively assessing singing ability was examined by: (1) determining the internal consistency and test-retest reliability of the tool; (2) comparing the task performance of web-based participants ( n = 285) with a group ( n = 52) completing the tool in a controlled laboratory setting, and then determining the convergent validity between settings, and (3) comparing participants’ task performance with previous research using similar singing tasks and populations. Results indicated that the online singing tool exhibited high internal consistency (Cronbach’s alpha = .92), and moderate-to-high test-retest reliabilities (.65–.80) across an average 4.5-year-span. Task performance for web- and laboratory-based participants ( n = 82) matched on age, sex, and music training were not significantly different. Moderate-to-large correlations (| r | =.31–.59) were found between self-rated singing ability and the various singing tasks, supporting convergent validity. Finally, task performance of the web-based sample was not significantly different to previously reported findings. Overall the findings support the robustness of the online tool for objectively measuring singing pitch accuracy beyond a controlled laboratory environment and its potential application in large-scale investigations of singing and music ability.

We introduce the Berlin Gehoerbildung Scale (BGS), a multidimensional assessment of music expertise in amateur musicians and music professionals. The BGS is informed by music theory and uses a variety of testing methods in the ear-training tradition, with items covering four different dimensions of music expertise: (1) intervals and scales, (2) dictation, (3) chords and cadences, and (4) complex listening. We validated the test in a sample of amateur musicians, aspiring professional musicians, and students attending a highly competitive music conservatory ( n = 59). Using structural equation modeling, we compared two factor models: a unidimensional model postulating a single factor of music expertise; and a hierarchical model, according to which four first-order subscale factors load on a second-order factor of general music expertise. The hierarchical model showed better fit to the data than the unidimensional model, indicating that the four subscales capture reliable variance above and beyond the general factor of music expertise. There were reliable group differences on both the second-order general factor and the four subscales, with music students outperforming aspiring professionals and amateur musicians. We conclude that the BGS is an adequate measurement instrument for assessing individual differences in music expertise, especially at high levels of expertise.