Main content



Loading wiki pages...

Wiki Version:
Musicians’ advantages in speech processing (e.g., speech segmentation) may stem from enhanced statistical learning (SL) skills. To test this hypothesis, we examined musicians and non-musicians’ learning of an artificial sung language. Implicit (i.e., Event-Related Potentials) and explicit (i.e., behavioral responses) measures were combined to examine SL *per se* and its outcomes. Brain and behavioral data revealed that training modulates SL leading to increased performances in the recognition of the sung language. However, we know that performance in SL tasks depends on attentional demands and that musical training is related to enhanced auditory selective attention. Thus, we clarified whether a musicians’ advantage in language learning persisted when SL occurred outside the focus of attention by instructing participants to focus on a visual task and ignore the sounds. Results showed that brain responses during learning as well as behavioral performances did not differ as a function of musical training. Together, these findings shed light on the effects of music-related neuroplasticity on SL revealing a pivotal role of selective attention in the positive transfer of training from music to speech processing. Contact information: ****Margarida Vasconcelos****, Ph.D. Psychological Neuroscience Laboratory, CIPsi, School of Psychology, University of Minho, Campus de Gualtar. 4710-057 Braga, Portugal E-mail:
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.