MUSIC TO OUR EYES: ASSESSING THE ROLE OF EXPERIENCE FOR MULTISENSORY INTEGRATION IN MUSIC PERCEPTION

Based on research on the “McGurk Effect” (McGurk & McDonald, 1976) in speech perception, some researchers (e.g. Liberman & Mattingly, 1985) have argued that humans uniquely interpret auditory and visual (motor) speech signals as a single intended audiovisual articulatory gesture, and that such multisensory integration is innate and specific to language. Our goal for the present study was to determine if a McGurk-like Effect holds true for music perception as well, as a domain for which innateness and experience can be disentangled more easily than in language. We sought to investigate the effects of visual musical information on auditory music perception and judgment, the impact of music experience on such audiovisual integration, and the possible role of eye gaze patterns as a potential mediator for music experience and the extent of visual influence on auditory judgments. 108 participants (ages 18-40) completed a questionnaire and melody/rhythm perception tasks to determine music experience and abilities, and then completed speech and musical McGurk tasks. Stimuli were recorded from five sounds produced by a speaker or musician (cellist and trombonist) that ranged incrementally along a continuum from one type to another (e.g. non-vibrato to strong vibrato). In the audiovisual condition, these sounds were paired with videos of the speaker/performer producing one type of sound or another (representing either end of the continuum) such that the audio and video matched or mismatched to varying degrees. Participants indicated, on a 100-point scale, the extent to which the auditory presentation represents one end of the continuum or the other. Auditory judgments for each sound were then compared based on their visual pairings to determine the impact of visual cues on auditory judgments. Additionally, several types of music experience were evaluated as potential predictors of the degree of influence visual stimuli had on auditory judgments. Finally, eye gaze patterns were measured in a different sample of 15 participants to assess relationships between music experience and eye gaze patterns, and eye gaze patterns and extent of visual on auditory judgments. Results indicated a reliable “musical McGurk Effect” in the context of cello vibrato sounds, but weaker overall effects for trombone vibrato sounds and cello pluck and bow sounds. Limited evidence was found to suggest that music experience impacts the extent to which individuals are influenced by visual stimuli when making auditory judgments. The support that was obtained, however, indicated the possibility for diminished visual influence on auditory judgments based on variables associated with music “production” experience. Potential relationships between music experience and eye-gaze patterns were identified. Implications for audiovisual integration in the context of speech and music perception are discussed, and future directions advised

Musical experience may help the brain respond to second language reading

A person's native language background exerts constraints on the brain's automatic responses while learning a second language. It remains unclear, however, whether and how musical experience may help the brain overcome such constraints and meet the requirements of a second language. This study compared native Chinese English learners who were musicians, non-musicians and native English readers on their automatic brain automatic integration of English letter-sounds with an ERP cross-modal audiovisual mismatch negativity paradigm. The results showed that native Chinese-speaking musicians successfully integrated English letters and sounds, but their non-musician peers did not, despite of their comparable English learning experience and proficiency level. However, native Chinese-speaking musicians demonstrated enhanced cross-modal MMN for both synchronized and delayed letter-sound integration, while native English readers only showed enhanced cross-modal MMN for synchronized integration. Moreover, native Chinese-speaking musicians showed stronger theta oscillations when integrating English letters and sounds, suggesting that they had better top-down modulation. In contrast, native English readers showed stronger delta oscillations for synchronized integration, and their cross-modal delta oscillations significantly correlated with English reading performance. These findings suggest that long-term professional musical experience may enhance the top-down modulation, then help the brain efficiently integrating letter-sounds required by the second language. Such benefits from musical experience may be different from those from specific language experience in shaping the brain's automatic responses to reading.Peer reviewe

Chinese Tones: Can You Listen With Your Eyes?:The Influence of Visual Information on Auditory Perception of Chinese Tones

CHINESE TONES: CAN YOU LISTEN WITH YOUR EYES? The Influence of Visual Information on Auditory Perception of Chinese Tones YUEQIAO HAN Summary Considering the fact that more than half of the languages spoken in the world (60%-70%) are so-called tone languages (Yip, 2002), and tone is notoriously difficult to learn for westerners, this dissertation focused on tone perception in Mandarin Chinese by tone-naïve speakers. Moreover, it has been shown that speech perception is more than just an auditory phenomenon, especially in situations when the speaker’s face is visible. Therefore, the aim of this dissertation is to also study the value of visual information (over and above that of acoustic information) in Mandarin tone perception for tone-naïve perceivers, in combination with other contextual (such as speaking style) and individual factors (such as musical background). Consequently, this dissertation assesses the relative strength of acoustic and visual information in tone perception and tone classification. In the first two empirical and exploratory studies in Chapter 2 and 3 , we set out to investigate to what extent tone-naïve perceivers are able to identify Mandarin Chinese tones in isolated words, and whether or not they can benefit from (seeing) the speakers’ face, and what the contribution is of a hyperarticulated speaking style, and/or their own musical experience. Respectively, in Chapter 2 we investigated the effect of visual cues (comparing audio-only with audio-visual presentations) and speaking style (comparing a natural speaking style with a teaching speaking style) on the perception of Mandarin tones by tone-naïve listeners, looking both at the relative strength of these two factors and their possible interactions; Chapter 3 was concerned with the effects of musicality of the participants (combined with modality) on Mandarin tone perception. In both of these studies, a Mandarin Chinese tone identification experiment was conducted: native speakers of a non-tonal language were asked to distinguish Mandarin Chinese tones based on audio (-only) or video (audio-visual) materials. In order to include variations, the experimental stimuli were recorded using four different speakers in imagined natural and teaching speaking scenarios. The proportion of correct responses (and average reaction times) of the participants were reported. The tone identification experiment presented in Chapter 2 showed that the video conditions (audio-visual natural and audio-visual teaching) resulted in an overall higher accuracy in tone perception than the auditory-only conditions (audio-only natural and audio-only teaching), but no better performance was observed in the audio-visual conditions in terms of reaction time, compared to the auditory-only conditions. Teaching style turned out to make no difference on the speed or accuracy of Mandarin tone perception (as compared to a natural speaking style). Further on, we presented the same experimental materials and procedure in Chapter 3 , but now with musicians and non-musicians as participants. The Goldsmith Musical Sophistication Index (Gold-MSI) was used to assess the musical aptitude of the participants. The data showed that overall, musicians outperformed non-musicians in the tone identification task in both auditory-visual and auditory-only conditions. Both groups identified tones more accurately in the auditory-visual conditions than in the auditory-only conditions. These results provided further evidence for the view that the availability of visual cues along with auditory information is useful for people who have no knowledge of Mandarin Chinese tones when they need to learn to identify these tones. Out of all the musical skills measured by Gold-MSI, the amount of musical training was the only predictor that had an impact on the accuracy of Mandarin tone perception. These findings suggest that learning to perceive Mandarin tones benefits from musical expertise, and visual information can facilitate Mandarin tone identification, but mainly for tone-naïve non-musicians. In addition, performance differed by tone: musicality improves accuracy for every tone; some tones are easier to identify than others: in particular, the identification of tone 3 (a low-falling-rising) proved to be the easiest, while tone 4 (a high-falling tone) was the most difficult to identify for all participants. The results of the first two experiments presented in chapters 2 and 3 showed that adding visual cues to clear auditory information facilitated the tone identification for tone-naïve perceivers (there is a significantly higher accuracy in audio-visual condition(s) than in auditory-only condition(s)). This visual facilitation was unaffected by the presence of (hyperarticulated) speaking style or the musical skill of the participants. Moreover, variations in speakers and tones had effects on the accurate identification of Mandarin tones by tone-naïve perceivers. In Chapter 4 , we compared the relative contribution of auditory and visual information during Mandarin Chinese tone perception. More specifically, we aimed to answer two questions: firstly, whether or not there is audio-visual integration at the tone level (i.e., we explored perceptual fusion between auditory and visual information). Secondly, we studied how visual information affects tone perception for native speakers and non-native (tone-naïve) speakers. To do this, we constructed various tone combinations of congruent (e.g., an auditory tone 1 paired with a visual tone 1, written as AxVx) and incongruent (e.g., an auditory tone 1 paired with a visual tone 2, written as AxVy) auditory-visual materials and presented them to native speakers of Mandarin Chinese and speakers of tone-naïve languages. Accuracy, defined as the percentage correct identification of a tone based on its auditory realization, was reported. When comparing the relative contribution of auditory and visual information during Mandarin Chinese tone perception with congruent and incongruent auditory and visual Chinese material for native speakers of Chinese and non-tonal languages, we found that visual information did not significantly contribute to the tone identification for native speakers of Mandarin Chinese. When there is a discrepancy between visual cues and acoustic information, (native and tone-naïve) participants tend to rely more on the auditory input than on the visual cues. Unlike the native speakers of Mandarin Chinese, tone-naïve participants were significantly influenced by the visual information during their auditory-visual integration, and they identified tones more accurately in congruent stimuli than in incongruent stimuli. In line with our previous work, the tone confusion matrix showed that tone identification varies with individual tones, with tone 3 (the low-dipping tone) being the easiest one to identify, whereas tone 4 (the high-falling tone) was the most difficult one. The results did not show evidence for auditory-visual integration among native participants, while visual information was helpful for tone-naïve participants. However, even for this group, visual information only marginally increased the accuracy in the tone identification task, and this increase depended on the tone in question. Chapter 5 is another chapter that zooms in on the relative strength of auditory and visual information for tone-naïve perceivers, but from the aspect of tone classification. In this chapter, we studied the acoustic and visual features of the tones produced by native speakers of Mandarin Chinese. Computational models based on acoustic features, visual features and acoustic-visual features were constructed to automatically classify Mandarin tones. Moreover, this study examined what perceivers pick up (perception) from what a speaker does (production, facial expression) by studying both production and perception. To be more specific, this chapter set out to answer: (1) which acoustic and visual features of tones produced by native speakers could be used to automatically classify Mandarin tones. Furthermore, (2) whether or not the features used in tone production are similar to or different from the ones that have cue value for tone-naïve perceivers when they categorize tones; and (3) whether and how visual information (i.e., facial expression and facial pose) contributes to the classification of Mandarin tones over and above the information provided by the acoustic signal. To address these questions, the stimuli that had been recorded (and described in chapter 2) and the response data that had been collected (and reported on in chapter 3) were used. Basic acoustic and visual features were extracted. Based on them, we used Random Forest classification to identify the most important acoustic and visual features for classifying the tones. The classifiers were trained on produced tone classification (given a set of auditory and visual features, predict the produced tone) and on perceived/responded tone classification (given a set of features, predict the corresponding tone as identified by the participant). The results showed that acoustic features outperformed visual features for tone classification, both for the classification of the produced and the perceived tone. However, tone-naïve perceivers did revert to the use of visual information in certain cases (when they gave wrong responses). So, visual information does not seem to play a significant role in native speakers’ tone production, but tone-naïve perceivers do sometimes consider visual information in their tone identification. These findings provided additional evidence that auditory information is more important than visual information in Mandarin tone perception and tone classification. Notably, visual features contributed to the participants’ erroneous performance. This suggests that visual information actually misled tone-naïve perceivers in their task of tone identification. To some extent, this is consistent with our claim that visual cues do influence tone perception. In addition, the ranking of the auditory features and visual features in tone perception showed that the factor perceiver (i.e., the participant) was responsible for the largest amount of variance explained in the responses by our tone-naïve participants, indicating the importance of individual differences in tone perception. To sum up, perceivers who do not have tone in their language background tend to make use of visual cues from the speakers’ faces for their perception of unknown tones (Mandarin Chinese in this dissertation), in addition to the auditory information they clearly also use. However, auditory cues are still the primary source they rely on. There is a consistent finding across the studies that the variations between tones, speakers and participants have an effect on the accuracy of tone identification for tone-naïve speaker

The effect of a one-semester music appreciation course upon music processing strategies of college students

Several studies have been conducted investigating hemispheric dominance for melodic stimuli of professional musicians. This study was an investigation of the effects of a one-semester music appreciation course on music processing strategies of college students. Twenty-seven students enrolled in a music appreciation class (experimental group) and 27 students from a psychology class (control group) served as subjects. The subjects were matched for musical aptitude. Two dichotic listening tapes--one of short melodies, the other of spoken consonants--were administered to each subject at the beginning and end of a semester of study. Frequency tabulations of correct scores for each ear were calculated. Double-correct scores, which were correctly identified by both ears simultaneously, were also tabulated. The mean scores for each group were used to determine which ear was dominant in processing examples of the dichotic listening tasks. The significance of difference between pretest and posttest scores were compared by calculating a t test for dependent samples