Tonal and textural influences on musical sight-reading

Lewandowska, Olivia Podolak; Schmuckler, Mark A.

doi:10.1007/s00426-019-01187-1

Cited by 13 publications

(12 citation statements)

References 131 publications

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“…With the continuous development of the music education system, the teaching concept and teaching methods of sight-singing and ear training have been innovated; however, the teaching form has been using classroom teaching and training for many years, and this boring teaching form is not only inefficient but also greatly affects the students' interest in learning and lack of learning initiative [6]. Although more and more multimedia tools and teaching software are being used in the classroom for sight-singing teaching, these tools (software) can only assist in teaching, and the existing online courses and online learning platforms, which only provide learners with rich learning resources and different learning pathways, do not yet meet the needs of intelligent teaching [7]. ere is a lack of research on the design and implementation methods of intelligent guidance systems, and only a few visual singing learning systems are still inadequate in terms of personalization and intelligence [8].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

Zhe

2021

Complexity

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Intelligent Guided Learning System (ITS) is a computer system that uses computers to imitate the experience and methods of teaching experts to assist in teaching; ITS provides learners with personalized learning resources and adaptive teaching methods, thus reducing students’ dependence on teachers and realizing independent learning. After years of research and development, and with the help of artificial intelligence technology, ITS has basically formed a stable structure and unified implementation specifications and has given birth to many excellent products in disciplines such as basic computer, language, medicine, and mathematics. Based on the above background, this paper takes the system structure of universal ITS as the basis, combines the characteristics of music sight-singing subject in teaching contents and teaching methods, researches the intelligent guidance system model of music sight-singing, and completes the design of the overall system architecture. The specific strategies and implementation methods of the teaching methods, resource recommendation, and ability assessment components of the teaching model are studied. The research includes the definition of the difficulty characteristics of the score, the design of the score recommendation algorithm, the design of the sight-singing scoring algorithm, and the experimental analysis of each algorithm. It is proposed that the difficulty feature-based score recommendation algorithm is the core component of resource recommendation in the teacher model, and the sight-singing scoring algorithm is the basis for ability assessment and learner model update.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

Zhe

2021

Complexity

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“…Even if this relationship only existed for a subgroup of participants—tonal language speakers—this suggests that cognitive abilities might be critical for musical listening capacities. Moreover, more complex musical material also puts a strain on working memory: For example, Lewandowska and Schmuckler (2020) found that pianists make more errors when playing polyphonic textures than homophonic textures. Indeed, polyphonic textures demand more planning and motor control, which require more working memory resources.…”

Section: Wmcmentioning

confidence: 99%

Experiential and Cognitive Predictors of Sight-Singing Performance in Music Higher Education

Pomerleau-Turcotte

Sala

Dubé

et al. 2021

Journal of Research in Music Education

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Sight-singing is prevalent in aural skill classes, where learners differ in experience and cognitive abilities. In this research, we investigated whether musical experience, level of study, and working memory capacity (WMC) can predict sight-singing performance and if there is a correlation between WMC and performance among some subgroups of participants. We hypothesized that more experienced students and those with a higher WMC might sight-sing better than those with less experience and lesser WMC. We also hypothesized that the relationship between WMC and sight-singing performance would be more salient for less experienced and less proficient sight-singers. We surveyed 56 subjects about their experience with music, assessed their WMC, and evaluated their performance on a short sight-singing task. The results showed that the age when students began learning music could predict sight-singing performance independently from the number of years of experience and the educational level, suggesting a possible developmental component to sight-singing skill. We also found a negative relationship between WMC and pitch score in the low-performing group and between rhythm and pitch score, suggesting that pitch and rhythm are processed differently. Teachers should be aware of how students’ backgrounds might be related to performance and encourage them to develop strong automated skills, such as reading music or singing basic tonal patterns.

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“…These factors, to varying degrees, drive online processing of musical information, including perceptual organization . complexity (Eerola et al, 2006;Schmuckler, 1999), similarity (Prince, 2014;Schmuckler, 2010), memory (Dowling & Fujitani, 1971;, and performance (Drake & Palmer, 2000;Lewandowska & Schmuckler, 2019). Given this wealth of evidence, it is clear that both of these components play central roles in all aspects of musical behavior.…”

Section: Introductionmentioning

confidence: 99%

Future Directions of Music Cognition

2021

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The Future Directions of Music Cognition conference developed parallel to many of the societal changes brought about by the COVID-19 pandemic. The result was an innovative approach to online, remote conferencing. This proceedings journal reflects the research presented at the conference and speaker series, but the virtual nature of the conference also provides opportunities for this journal to be multimedia in new and exciting ways. Most of the articles in this journal are accompanied by an online multimedia presence, with articles linked to videos of the authors presenting, slides, and access to original data and stimuli. This article reviews the story of how the conference and speaker series developed during the pandemic, some of the achievements of the conference, and how the journal is structured.

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Tonal and textural influences on musical sight-reading

Cited by 13 publications

References 131 publications

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

Experiential and Cognitive Predictors of Sight-Singing Performance in Music Higher Education

Future Directions of Music Cognition

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