Three experiments were conducted in order to validate 56 musical excerpts that conveyed four intended emotions (happiness, sadness, threat and peacefulness). In Experiment 1, the musical clips were rated in terms of how clearly the intended emotion was portrayed, and for valence and arousal. In Experiment 2, a gating paradigm was used to evaluate the course for emotion recognition. In Experiment 3, a dissimilarity judgement task and multidimensional scaling analysis were used to probe emotional content with no emotional labels. The (...) results showed that emotions are easily recognised and discriminated on the basis of valence and arousal and with relative immediacy. Happy and sad excerpts were identified after the presentation of fewer than three musical events. With no labelling, emotion discrimination remained highly accurate and could be mapped on energetic and tense dimensions. The present study provides suitable musical material for research on emotions.Keywords. (shrink)

Extensive training with a musical instrument results in the automatisation of the bodily operations needed to manipulate the instrument: the performer no longer has to consciously think about the instrument while playing. The ability of the performer to automate operations on the instrument is due to sensorimotor mechanisms that can predict changes in the state of the body and the instrument in response to motor commands. But how strong are these mechanisms? To what extent can we alter the structure of (...) the instrument before they disappear? We performed an exploratory study to understand whether and how sensorimotor predictions survive instrument modification. We asked seven professional violinists to perform repertoire pieces and sight-reading exercises on four different violins: their own, a cheap violin, a small violin, and a violin whose strings had been put on in reverse order. We performed a series of quantitative investigations on performance intonation and duration, and on bowing gestures and errors. The analysis revealed that participants struggled adapting to the altered instruments, suggesting that prediction mechanisms are a function of instrument configuration. In particular, the analysis of bowing errors, intonation, and of performance duration suggested that the performance with the reverse violin was much less fluent and precise than the performer's own instrument; the performance with the small violin was also sub-standard though to a lesser extent. We also observed that violinists were differently affected by instrument modifications, suggesting that the capability to adapt to a new instrument is highly personal. (shrink)

This study sought to determine if hues overlayed on a video recording of a piano performance would systematically influence perception of its emotional arousal level. The hues were artificially added to a series of four short video excerpts of different performances using video editing software. Over two experiments 106 participants were sorted into 4 conditions, with each viewing different combinations of musical excerpts and hue combinations. Participants rated the emotional arousal depicted by each excerpt. Results indicated that the overall arousal (...) ratings were consistent with the nominal arousal of the selected excerpts. However, hues added to video produced no significant effect on arousal ratings, contrary to predictions. This could be due to the domination of the combined effects of other channels of information over the emotional effects of the hypothesized influence of hue on perceived performance. To our knowledge this is the first study to investigate the impact of these hues upon perceived arousal of music performance, and has implications for musical performers and stage lighting. Further research that investigates reactions during live performance and manipulation of a wider range of lighting hues, saturation and brightness levels, and editing techniques, is recommended to further scrutinize the veracity of the findings. (shrink)

There is widespread interest in the possibility that music training enhances nonmusical abilities. This possibility has been examined primarily for speech perception and domain-general abilities su...

Music has strong emotional powers. How are we to understand affective responses to music? What does music teach us about emotions? Why are musical emotions important? Despite the rich literature in philosophy and the empirical sciences, particularly psychology and neuroscience, little attention has been paid to integrating these approaches. This extensive review aims to redress this imbalance and establish a mutual dialogue between philosophy and the empirical sciences by presenting the main philosophical puzzles from an affective science perspective. The chief (...) problem is contagion. Sometimes, listeners perceive music as expressing some emotion and this elicits the same emotion in them. Contagion is perplexing because it collides with the leading theory of emotions as experiences of values. This article mostly revolves around the critical presentation of the philosophical solutions to this problem in light of recent developments in emotion theory and affective science. It also highlights practical issues, particularly the role of musical emotions in well-being and health, by tackling the paradox of sad music, i.e., the question of why people enjoy sad music. It thus bridges an important gap between theoretical and real-life issues as well as between philosophical and empirical investigations on affective responses to music. (shrink)

An overview of the computational prediction of emotional responses to music is presented. Communication of emotions by music has received a great deal of attention during the last years and a large number of empirical studies have described the role of individual features (tempo, mode, articulation, timbre) in predicting the emotions suggested or invoked by the music. However, unlike the present work, relatively few studies have attempted to model continua of expressed emotions using a variety of musical features from audio-based (...) representations in a correlation design. The construction of the computational model is divided into four separate phases, with a different focus for evaluation. These phases include the theoretical selection of relevant features, empirical assessment of feature validity, actual feature selection, and overall evaluation of the model. Existing research on music and emotions and extraction of musical features is reviewed in terms of these criteria. Examples drawn from recent studies of emotions within the context of film soundtracks are used to demonstrate each phase in the construction of the model. These models are able to explain the dominant part of the listeners’ self-reports of the emotions expressed by music and the models show potential to generalize over different genres within Western music. Possible applications of the computational models of emotions are discussed. (shrink)

The main focus of the paper is the role of listeners’ emotion-relevant characteristics and musical expertise in the granularity of affective responses to music. Another objective of the study is to test the consistency of the granularity of affect that is perceived in music and/or experienced in response to it. In Experiment 1, 91 musicians and nonmusicians listened to musical excerpts and grouped them according to the similarity of the affects they experienced while listening. Finer grouping granularity was found in (...) musicians and high rumination scorers. Male musicians with above-median scores in rumination produced a larger number of clusters than the other male participants. Experiment 2 that engaged 23 participants demonstrated moderate consistency with which listeners grouped affects that they perceived in music and affects they experienced while listening to music. The study suggests that affective responses to music are subject to individual differences in musical expertise and rumination. Affects perceived in music and felt in response to it seem to be categorized with reference to the common principles. However, the cues that are used in such instances of categorization seem to be different. The paper encourages further research on the importance of listeners’ personal characteristics for the affective responses to music. (shrink)

ABSTRACTWith over 560 citations reported on Google Scholar by April 2018, a publication by Juslin and Gabrielsson presented evidence supporting performers’ abilities to communicate, with hig...