Learning expressive percussion performance under different visual feedback conditions

A study was conducted to test the effect of two different forms of real-time visual feedback on expressive percussion performance. Conservatory percussion students performed imitations of recorded teacher performances while receiving either high-level feedback on the expressive style of their performances, low-level feedback on the timing and dynamics of the performed notes, or no feedback. The high-level feedback was based on a Bayesian analysis of the performances, while the low-level feedback was based on the raw participant timing and dynamics data. Results indicated that neither form of feedback led to significantly smaller timing and dynamics errors. However, high-level feedback did lead to a higher proficiency in imitating the expressive style of the target performances, as indicated by a probabilistic measure of expressive style. We conclude that, while potentially disruptive to timing processes involved in music performance due to extraneous cognitive load, high-level visual feedback can improve participant imitations of expressive performance features

Auditory perceptual learning via decoded EEG neurofeedback: A novel paradigm

Contains fulltext : 125127.pdf (publisher's version ) (Open Access)Radboud Universiteit Nijmegen, 19 maart 2014Promotores : Desain, P.W.M., McQueen, J.M. Co-promotor : Sadakata, M.152 p

Decoding speech perception by native and non-native speakers using single-trial electrophysiological data

Contains fulltext : 116445.pdf (publisher's version ) (Open Access)Brain-computer interfaces (BCIs) are systems that use real-time analysis of neuroimaging data to determine the mental state of their user for purposes such as providing neurofeedback. Here, we investigate the feasibility of a BCI based on speech perception. Multivariate pattern classification methods were applied to single-trial EEG data collected during speech perception by native and non-native speakers. Two principal questions were asked: 1) Can differences in the perceived categories of pairs of phonemes be decoded at the single-trial level? 2) Can these same categorical differences be decoded across participants, within or between native-language groups? Results indicated that classification performance progressively increased with respect to the categorical status (within, boundary or across) of the stimulus contrast, and was also influenced by the native language of individual participants. Classifier performance showed strong relationships with traditional event-related potential measures and behavioral responses. The results of the cross-participant analysis indicated an overall increase in average classifier performance when trained on data from all participants (native and non-native). A second cross-participant classifier trained only on data from native speakers led to an overall improvement in performance for native speakers, but a reduction in performance for non-native speakers. We also found that the native language of a given participant could be decoded on the basis of EEG data with accuracy above 80%. These results indicate that electrophysiological responses underlying speech perception can be decoded at the single-trial level, and that decoding performance systematically reflects graded changes in the responses related to the phonological status of the stimuli. This approach could be used in extensions of the BCI paradigm to support perceptual learning during second language acquisition.13 p

Perceptual Learning via Decoded-EEG Neurofeedback

Contains fulltext : 122929.pdf (publisher's version ) (Open Access)An experiment was conducted to determine whether decoding auditory evoked potentials during passive listening and providing the classifier output as a neurofeedback signal leads to the enhancement of auditory perceptual discrimination and/or brain responses related to auditory perception. Results indicate an enhancement of both behavioral discrimination and brain responses to frequency stimuli across four days of measurements

Effects of native language on perceptual sensitivity to phonetic cues

Item does not contain fulltextThe present study used electrophysiological and behavioral measures to investigate the perception of an English stop consonant contrast by native English listeners and by native Dutch listeners who were highly proficient in English. A /ba/-/pa/ continuum was created from a naturally produced /pa/ token by removing successive periods of aspiration, thus reducing the voice onset time. Although aspiration is a relevant cue for distinguishing voiced and unvoiced labial stop consonants (/b/ and /p/) in English, prevoicing is the primary cue used to distinguish between these categories in Dutch. In the electrophysiological experiment, participants listened to oddball sequences containing the standard /pa/ stimulus and one of three deviant stimuli while the mismatch-negativity response was measured. Participants then completed an identification task on the same stimuli. The results showed that native English participants were more sensitive to reductions in aspiration than native Dutch participants, as indicated by shifts in the category boundary, by differing within-group patterns of mismatch-negativity responses, and by larger mean evoked potential amplitudes in the native English group for two of the three deviant stimuli. This between-group difference in the sensorineural processing of aspiration cues indicates that native language experience alters the way in which the acoustic features of speech are processed in the auditory brain, even following extensive second-language training