scholarly journals The role of divided attention and expertise in melody recognition

2017 ◽  
Vol 23 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Steffen A. Herff ◽  
Daniela Czernochowski

When attention is divided during memory encoding, performance tends to suffer. The nature of this performance decrement, however, is domain-dependent and often governed by domain-specific expertise. In this study, 111 participants with differing levels of musical expertise (professional musicians, amateur musicians, and non-musicians) were presented with novel melodies under full- or divided-attention conditions in a continuous melody-recognition task. As hypothesized, melody recognition was modulated by musical expertise, as greater expertise was associated with better performance. Recognition performance increased with every additional presentation of a target melody. The divided-attention condition required concurrently performing a non-music related digit-monitoring task while simultaneously listening to the melodies. Memory performance decreased universally in all groups in the divided-attention condition; however, intriguingly musicians also performed significantly better in the concurrent digit-monitoring task than non-musicians. Results provide insight into the role of expertise, attention, and memory in the musical domain, and are discussed in terms of attentional resource models. In light of resource models, an asymmetrical non-linear trade-off between two simultaneous tasks is proposed to explain the present findings.

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Sajid ◽  
Nouman Ali ◽  
Saadat Hanif Dar ◽  
Naeem Iqbal Ratyal ◽  
Asif Raza Butt ◽  
...  

Recently, face datasets containing celebrities photos with facial makeup are growing at exponential rates, making their recognition very challenging. Existing face recognition methods rely on feature extraction and reference reranking to improve the performance. However face images with facial makeup carry inherent ambiguity due to artificial colors, shading, contouring, and varying skin tones, making recognition task more difficult. The problem becomes more confound as the makeup alters the bilateral size and symmetry of the certain face components such as eyes and lips affecting the distinctiveness of faces. The ambiguity becomes even worse when different days bring different facial makeup for celebrities owing to the context of interpersonal situations and current societal makeup trends. To cope with these artificial effects, we propose to use a deep convolutional neural network (dCNN) using augmented face dataset to extract discriminative features from face images containing synthetic makeup variations. The augmented dataset containing original face images and those with synthetic make up variations allows dCNN to learn face features in a variety of facial makeup. We also evaluate the role of partial and full makeup in face images to improve the recognition performance. The experimental results on two challenging face datasets show that the proposed approach can compete with the state of the art.


2014 ◽  
Vol 45 (3) ◽  
pp. 363-371 ◽  
Author(s):  
Marek Nieznański

Abstract The role of encoding/retrieval conditions compatibility was investigated in a reality-monitoring task. An experiment was conducted which showed a positive effect of reinstating distinctive encoding operations at test. That is, generation of a low-frequency (LF) word from the same word fragment at study and test significantly enhanced item recognition memory. However, reinstating of relatively more automatic operations of reading or generating a highfrequency (HF) word did not influence recognition performance. Moreover, LF words were better recognized than HF words, but memory for source did not depend on the encoding/retrieval match or on the word-frequency. In comparison with reading, generating an item at study significantly enhanced source memory but generating it at test had no effect. The data were analysed using a multinomial modelling approach which allowed ruling out the influence of a response bias on the measurement of memory ability.


Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1007
Author(s):  
Chi Xu ◽  
Yunkai Jiang ◽  
Jun Zhou ◽  
Yi Liu

Hand gesture recognition and hand pose estimation are two closely correlated tasks. In this paper, we propose a deep-learning based approach which jointly learns an intermediate level shared feature for these two tasks, so that the hand gesture recognition task can be benefited from the hand pose estimation task. In the training process, a semi-supervised training scheme is designed to solve the problem of lacking proper annotation. Our approach detects the foreground hand, recognizes the hand gesture, and estimates the corresponding 3D hand pose simultaneously. To evaluate the hand gesture recognition performance of the state-of-the-arts, we propose a challenging hand gesture recognition dataset collected in unconstrained environments. Experimental results show that, the gesture recognition accuracy of ours is significantly boosted by leveraging the knowledge learned from the hand pose estimation task.


Author(s):  
Psyche Loui ◽  
Rachel E. Guetta

This chapter provides an overview of research at the intersection of music and cognitive functions. Music, an intrinsically creative art form, requires bottom-up and top-down perceptual processing, attention, and integration of executive functions. Literature on music and attention spans debates on selection theories, and the role of temporal attention and neuronal entrainment. Attention is a subset of executive functioning, goal-directed processes including conflict monitoring, task switching, and working memory. Considerable research has addressed the effects of musical training on executive functions, with contrasting reports of success in far transfer. Finally, contrary to goal-directed processes, creativity entails unconstrained thought processes that yield novel output. Perhaps due to the unrestricted nature of both music and creativity, the relevant research has also been variable. Considering these seemingly disparate aspects of cognitive function in tandem can inspire new and interesting research questions, promoting a more cohesive conceptualization of music within cognitive science more generally.


2005 ◽  
Vol 36 (3) ◽  
pp. 219-229 ◽  
Author(s):  
Peggy Nelson ◽  
Kathryn Kohnert ◽  
Sabina Sabur ◽  
Daniel Shaw

Purpose: Two studies were conducted to investigate the effects of classroom noise on attention and speech perception in native Spanish-speaking second graders learning English as their second language (L2) as compared to English-only-speaking (EO) peers. Method: Study 1 measured children’s on-task behavior during instructional activities with and without soundfield amplification. Study 2 measured the effects of noise (+10 dB signal-to-noise ratio) using an experimental English word recognition task. Results: Findings from Study 1 revealed no significant condition (pre/postamplification) or group differences in observations in on-task performance. Main findings from Study 2 were that word recognition performance declined significantly for both L2 and EO groups in the noise condition; however, the impact was disproportionately greater for the L2 group. Clinical Implications: Children learning in their L2 appear to be at a distinct disadvantage when listening in rooms with typical noise and reverberation. Speech-language pathologists and audiologists should collaborate to inform teachers, help reduce classroom noise, increase signal levels, and improve access to spoken language for L2 learners.


2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Priyanka Yadav

The ability of human beings to perform more than one task at a time has long been focus of study in the literature on human attention and memory. Older adults are more penalized when they must divide their attention between two input resources i.e input and holding or holding and responding. Falls have potentially devastating physical, social and psychological consequences. Falling is one of the most serious problems associated with ageing. Sensory system deteriorates with age, increased attention is allocated to “HIGHTEN” the signal coming from this system in order to gain necessary information for postural control. Older adults show marked reduction in the ability to perform the postural and cognitive task simultaneously. A study was conducted by physiotherapy and psychology students in a small town of Haryana on institutionalized older adults in which Dual task training under various sets of instruction that is Fixed priority and Variable priority instruction sets effects the balance who are living in residential care facilities. Tinneti Performance Oriented Mobility Assessment (POMA) and Mini mental status examination were used as tools to assess balance and cognitive abilities. Various studies related to the role of cognitive factors in balance impairments were reviewed. Data was analyzed using SPSS 13.0 software packages and paired sample t –test within the group and independent sample t – test between the groups with p – value at a significance level of p < 0.05 was used. The result of the study supported the hypothesis that there is significant improvement in balance of institutionalized elderly people who received dual task training with variable priority instruction set. (p < 0.001). The use of validated measurement tool like Tinnetti performance oriented mobility assessment on balance allowed clearer interpretation of the results. There is improvement in TPOMA Scores after 4 weeks training program in both groups. This shows that cognitive factors do play an important role in maintaining balance and coordination. Any impairment related to sensory system or cognition leads to balance impairments and increased risk for falls.


2021 ◽  
Vol 12 ◽  
Author(s):  
Jorge Oliveira ◽  
Marta Fernandes ◽  
Pedro J. Rosa ◽  
Pedro Gamito

Research on pupillometry provides an increasing evidence for associations between pupil activity and memory processing. The most consistent finding is related to an increase in pupil size for old items compared with novel items, suggesting that pupil activity is associated with the strength of memory signal. However, the time course of these changes is not completely known, specifically, when items are presented in a running recognition task maximizing interference by requiring the recognition of the most recent items from a sequence of old/new items. The sample comprised 42 healthy participants who performed a visual word recognition task under varying conditions of retention interval. Recognition responses were evaluated using behavioral variables for discrimination accuracy, reaction time, and confidence in recognition decisions. Pupil activity was recorded continuously during the entire experiment. The results suggest a decrease in recognition performance with increasing study-test retention interval. Pupil size decreased across retention intervals, while pupil old/new effects were found only for words recognized at the shortest retention interval. Pupillary responses consisted of a pronounced early pupil constriction at retrieval under longer study-test lags corresponding to weaker memory signals. However, the pupil size was also sensitive to the subjective feeling of familiarity as shown by pupil dilation to false alarms (new items judged as old). These results suggest that the pupil size is related not only to the strength of memory signal but also to subjective familiarity decisions in a continuous recognition memory paradigm.


2018 ◽  
Author(s):  
Tim Schoof ◽  
Pamela Souza

Objective: Older hearing-impaired adults typically experience difficulties understanding speech in noise. Most hearing aids address this issue using digital noise reduction. While noise reduction does not necessarily improve speech recognition, it may reduce the resources required to process the speech signal. Those available resources may, in turn, aid the ability to perform another task while listening to speech (i.e., multitasking). This study examined to what extent changing the strength of digital noise reduction in hearing aids affects the ability to multitask. Design: Multitasking was measured using a dual-task paradigm, combining a speech recognition task and a visual monitoring task. The speech recognition task involved sentence recognition in the presence of six-talker babble at signal-to-noise ratios (SNRs) of 2 and 7 dB. Participants were fit with commercially-available hearing aids programmed under three noise reduction settings: off, mild, strong. Study sample: 18 hearing-impaired older adults. Results: There were no effects of noise reduction on the ability to multitask, or on the ability to recognize speech in noise. Conclusions: Adjustment of noise reduction settings in the clinic may not invariably improve performance for some tasks.


Sign in / Sign up

Export Citation Format

Share Document