Real-Time Aural and Visual Feedback for Improving Violin Intonation

被引:10
|
作者
Pardue, Laurel S. [1 ]
McPherson, Andrew [1 ]
机构
[1] Queen Mary Univ London, Ctr Digital Mus, Augmented Instruments Lab, Elect Engn & Comp Sci, London, England
来源
FRONTIERS IN PSYCHOLOGY | 2019年 / 10卷
基金
英国工程与自然科学研究理事会;
关键词
violin; intonation; motor learning; pedagogy; real-time feedback; aural feedback; visual feedback; PITCH; PERFORMANCE; SYSTEM;
D O I
10.3389/fpsyg.2019.00627
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during practice, typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalizing bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimized for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four in-situ 20-30 min lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Violin Timbre Navigator: Real-Time Visual Feedback of Violin Bowing Based on Audio Analysis and Machine Learning
    Perez-Carrillo, Alfonso
    MULTIMEDIA MODELING, MMM 2019, PT II, 2019, 11296 : 182 - 193
  • [2] Real-Time Visual Feedback Based on MIMUs Technology Reduces Bowing Errors in Beginner Violin Students
    Provenzale, Cecilia
    Di Tommaso, Francesco
    Di Stefano, Nicola
    Formica, Domenico
    Taffoni, Fabrizio
    SENSORS, 2024, 24 (12)
  • [3] Real-time Feedback for Improving Medication Taking
    Lee, Matthew L.
    Dey, Anind K.
    32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014), 2014, : 2259 - 2268
  • [4] Tuning the hand (Improving violin intonation)
    Fischer, S
    STRAD, 2001, 112 (1339): : 1282 - 1283
  • [5] Real-time visual feedback: a study in coding analytics
    Seanosky, Jeremie
    Guillot, Isabelle
    Boulanger, David
    Guillot, Rebecca
    Guillot, Claudia
    Kumar, Vivekanandan
    Fraser, Shawn N.
    Kinshuk
    Aljojo, Nahla
    Munshi, Asmaa
    2017 IEEE 17TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), 2017, : 264 - 266
  • [6] Technology For Real-Time Visual Feedback In Singing Lessons
    Howard, David M.
    RESEARCH STUDIES IN MUSIC EDUCATION, 2005, 24 (01) : 40 - 57
  • [7] Real-Time Audio-Feedback for Improving Motor Performance
    Schaffert, Nina
    Mattes, Klaus
    PERCEPTION, 2019, 48 : 188 - 188
  • [8] Improving Effectiveness of Programming Assignments with Real-Time Formative Feedback
    Baimetov, Ilya
    PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL. 2, 2023, : 627 - 628
  • [9] PaceGuard: Improving Running Cadence by Real-time Auditory Feedback
    Fortmann, Jutta
    Pielot, Martin
    Mittelsdorf, Marco
    Buescher, Martin
    Trienen, Stefan
    Boll, Susanne
    MOBILEHCI '12: COMPANION PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON HUMAN COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES, 2012, : 5 - 10
  • [10] The Effect of Real-time Visual Performance Feedback on Teacher Feedback: A Preliminary Investigation
    Sweigart, Chris A.
    Landrum, Timothy J.
    Pennington, Robert C.
    EDUCATION AND TREATMENT OF CHILDREN, 2015, 38 (04) : 429 - 450