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Improving Music Performance Assessment with Contrastive Learning [article]

Pavan Seshadri, Alexander Lerch
2021 arXiv   pre-print
Several automatic approaches for objective music performance assessment (MPA) have been proposed in the past, however, existing systems are not yet capable of reliably predicting ratings with the same  ...  This study investigates contrastive learning as a potential method to improve existing MPA systems.  ...  This study aims to investigate the use of contrastive learning to improve the performance of MPA systems.  ... 
arXiv:2108.01711v1 fatcat:4vllxnrudrdadkmrgto5hocxle

Improving Music Performance Assessment With Contrastive Learning

Pavan M Seshadri, Alexander Lerch
2021 Zenodo  
Several automatic approaches for objective music performance assessment (MPA) have been proposed in the past, however, existing systems are not yet capable of reliably predicting ratings with the same  ...  This study investigates contrastive learning as a potential method to improve existing MPA systems.  ...  CONCLUSION This paper presented an approach to representation learning to improve the accuracy of a system for music performance assessment.  ... 
doi:10.5281/zenodo.5624480 fatcat:pc5vfkgv7zf4fgsymag5gduybm

Applying self-regulated learning microanalysis to study musicians' practice

Gary E. McPherson, Margaret S. Osborne, Paul Evans, Peter Miksza
2017 Psychology of Music  
This article describes the development of a music practice microanalysis protocol that is based on the three-phase model of self-regulated learning (i.e., Forethought, Performance, and Self-Reflection)  ...  the strategies they can use to improve their playing.  ...  improves performance achievement and facilitates nuanced music objectives (such as dynamics, articulation, and interpretation) in tertiary music student practice (Miksza, 2015) .  ... 
doi:10.1177/0305735617731614 fatcat:agdle5exi5ftvc2yqoliu5a67u

Pupils' Perceptions of Attainment in Music at the Start of Secondary School in England: A Descriptive Analysis

Dimitra Kokotsaki
2017 Journal of Education and Training Studies  
The present study aims to explore the issue of self-assessment in music learning and to contribute to the discussion about the importance of pupils' involvement in evaluating their musical skills.  ...  towards their work that can help promote a proactive and critical learning attitude.  ...  the perceived complexity of assessing music learning.  ... 
doi:10.11114/jets.v5i5.2353 fatcat:jytya6sifna6bpuwf2rbr3x2ka

Contrastive Learning of Musical Representations [article]

Janne Spijkervet, John Ashley Burgoyne
2021 arXiv   pre-print
In this work, we introduce SimCLR to the music domain and contribute a large chain of audio data augmentations to form a simple framework for self-supervised, contrastive learning of musical representations  ...  While deep learning has enabled great advances in many areas of music, labeled music datasets remain especially hard, expensive, and time-consuming to create.  ...  substantially improve model performance [17] .  ... 
arXiv:2103.09410v2 fatcat:l4epx7tacbeyplw2uavuduhlhe

Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children

J.H. Gruzelier, M. Foks, T. Steffert, M.J.-L. Chen, T. Ros
2014 Biological Psychology  
Here the focus was the impact on novice music performance.  ...  A/T and SMR training were compared in 11-year old school children along with non-intervention controls with outcome measures not only of rehearsed music performance but also of creative improvisation,  ...  In contrast to SMR training, references were made to Arts, Performance and Humanities with 4, and with one to maths.  ... 
doi:10.1016/j.biopsycho.2013.04.005 pmid:23623825 fatcat:ihgc7uc57behlml4z6h6dhfqfi

Contrastive Learning of Musical Representations

Janne Spijkervet, John Ashley Burgoyne
2021 Zenodo  
In this work, we introduce SimCLR to the music domain and contribute a large chain of audio data augmentations to form a simple framework for self-supervised, contrastive learning of musical representations  ...  While deep learning has enabled great advances in many areas of music, labeled music datasets remain especially hard, expensive, and time-consuming to create.  ...  substantially improve model performance [17] .  ... 
doi:10.5281/zenodo.5624572 fatcat:f5e5uxlbrjbsjejh56qetphhuq

Page 4521 of Psychological Abstracts Vol. 93, Issue 12 [page]

2006 Psychological Abstracts  
In contrast, identified regulation predicted academic performance.  ...  In contrast, music instruction confers consistent benefits for spatiotemporal reasoning skills; however, improvements in associated academic domains, such as arithmetic, have not been reliably shown.  ... 

Comparison of Adult Manikin Chest Compression between Music and Metronome Practice after Video Self-Instruction

Hee-Jeong Hwang, Tai-Hwan Uhm
2021 Fire Science and Engineering  
The study was conducted to improve chest compression training by analyzing manikin-assessed scores on chest compression and self-assessed scores on cardiopulmonary resuscitation (CPR) based on music and  ...  There was no difference in the manikin-assessed scores between the music and metronome training groups. The two training methods were consistent with or similar to the compression guidelines.  ...  With correction using a light, metronome, or music, the trainee's performance would naturally be improved.  ... 
doi:10.7731/kifse.70539b0b fatcat:hnoha4pbgjchlos3z543ysoc5i

Training of Tonal Similarity Ratings in Non-Musicians: A "Rapid Learning" Approach

Mathias S. Oechslin, Damian Läge, Oliver Vitouch
2012 Frontiers in Psychology  
learning research in music and other domains.  ...  learning research in music and other domains.  ...  By comparing the maps of these two assessments we were able to evaluate whether repeated similarity ratings alone, without feedback, lead to an improvement in listening performance.  ... 
doi:10.3389/fpsyg.2012.00142 pmid:22629252 pmcid:PMC3354592 fatcat:hv6c6c2k5ffhfp4ulgxoered54

Assessment of Student Music Performances Using Deep Neural Networks

Kumar Pati, Siddharth Gururani, Alexander Lerch
2018 Applied Sciences  
The results demonstrate the potential of using supervised feature learning techniques to better characterize music performances.  ...  This article explores the task of building computational models for music performance assessment, i.e., analyzing an audio recording of a performance and rating it along several criteria such as musicality  ...  Hence, improving the reliability and consistency of music performance assessments can play a critical role in the music learning process.  ... 
doi:10.3390/app8040507 fatcat:yxmavbdppjf7te24zqvyys7mla

Effects of an Interventional Music Program on Learning Skills of Primary-School Students with Dyslexia

Foteini Bouloukou, Veronica Marin-Diaz, Nοelia Jimenez-Fanjul
2021 International Journal of Education and Practice  
The assessment showed that the interventional music-training program improved students' performance in areas such as word recognition, grammar spelling, visual sequences and rhythm reproduction.  ...  The LAMDA (Learning Skills and Weakness Detection Software) test, a weighted tool for automated detection of learning difficulties in written and oral language, was used to assess the improvement of children  ...  The assessment showed that the interventional music-training program improved students' performance in areas such as word recognition, grammar spelling, visual sequences and rhythm reproduction.  ... 
doi:10.18488/journal.61.2021.93.456.467 fatcat:yg7t6ciicncnflvhzeflgosc6u

Adult Beginner Instrumentalists' Practice, Self-Regulation, and Self-Efficacy: A Pilot Study

Laura Ritchie, Phil Kearney
2018 Journal of Education and Training Studies  
Participants undertook a semester of music lessons learning string instruments.  ...  as directly influencing their learning.  ...  Prior to the final performance, participants completed the Self-efficacy for Musical Learning questionnaire.  ... 
doi:10.11114/jets.v6i5.2978 fatcat:dvriymkc7nev7gpx3dff2uttcm

Assessment for Learning, a decade on: Self-reported assessment practices of secondary school music teachers in Hong Kong

Marina W. Y. Wong
2013 International Journal of Music Education  
Assessment for Learning" (Afl) is integral to the decade-old reform of Hong Kong education.  ...  assessment modes of Hong Kong secondary school music teachers (n = 97) drawn from 120 secondary randomly selected schools.  ...  The Music Curriculum Guide lays out a music curriculum framework for students from ages 6 to 14 with assessment procedures that seek to embody AfL in order to improve student learning (CDC, 2003) .  ... 
doi:10.1177/0255761413491056 fatcat:s5vlsbtczncjjcdtqrbg3x3zoa

A discussion of the International-6359 (2).pdf

Mario Maxwell Muller
2019 Figshare  
These opportunities allow students to the understand the elements of music theory, learn about the various structures within music, familiarize themselves with the different musical periods and listen  ...  This research paper outlines the International Baccalaureate Programme (IB) focusing primarily on the Music Curriculum and the importance of assessment, the expectations and outcomes related to the course  ...  Secondly, I would like to thank my supervisor, mentor and academic colleague, Professor Geoff Mapaya for his insight, diligence in proof reading this paper with constant stimulating academic conversations  ... 
doi:10.6084/m9.figshare.8986619 fatcat:vfv6ob4r7jf55o7dpbgnair7m4
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