Skip to main content

instruMentor: An Interactive Robot for Musical Instrument Tutoring

  • Conference paper
  • First Online:
Towards Autonomous Robotic Systems (TAROS 2019)

Abstract

Musical instrument education has typically faced challenges in providing students with a cost-efficient and long-term solution for personalised tutoring. To address these challenges, we propose a musical instrument tutor robot for students learning the recorder, called instruMentor. Equipped with robotic hands and a multimodal interface, the robot interacts with users by playing the recorder and demonstrating in real-time the proper handling of the instrument. A pilot study was conducted to investigate the effectiveness of a robot tutor for instrument learning. Experimental results suggest that instruMentor is successful at teaching the recorder and is positively appreciated by users, showing promise for the future coupling of music tutoring and social robots.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    A supplementary video is available at: http://www.imperial.ac.uk/personal-robotics/videos.

  2. 2.

    Assembly of the“Finger Starter”: http://inmoov.fr/finger-starter.

  3. 3.

    “Let’s Make Music: Classroom recorder course”, available at: http://classroomrecorder.com.

  4. 4.

    https://github.com/aniawsz/rtmonoaudio2midi.

  5. 5.

    https://github.com/adafruit/Adafruit_Python_PCA9685.

References

  1. ABRSM: Making Music - Teaching, Learning and Playing in the UK, September 2014. https://gb.abrsm.org/en/making-music. Accessed 8 Feb 2019

  2. Corrigall, K., Schellenberg, E.G., Misura, N.: Music training, cognition, and personality. Front. Psychol. 4, 222 (2013). https://doi.org/10.3389/fpsyg.2013.00222

    Article  Google Scholar 

  3. Corrigall, K.A., Schellenberg, E.G.: Predicting who takes music lessons: parent and child characteristics. Front. Psychol. 6, 282 (2015). https://doi.org/10.3389/fpsyg.2015.00282

    Article  Google Scholar 

  4. Creech, A.: Learning a musical instrument: the case for parental support. Music Educ. Res. 12(1), 13–32 (2010). https://doi.org/10.1080/14613800903569237

    Article  Google Scholar 

  5. Crick, C., Munz, M., Scassellati, B.: Synchronization in social tasks: robotic drumming. In: ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication, pp. 97–102, September 2006. https://doi.org/10.1109/ROMAN.2006.314401

  6. Ferrari, L., Addessi, A.R.: A new way to play music together: the continuator in the classroom. Int. J. Music Educ. 32(2), 171–184 (2014). https://doi.org/10.1177/0255761413504706

    Article  Google Scholar 

  7. Myers, D., Bowles, C., Dabback, W.: Music learning as a lifespan endeavor. In: Community Music Today, pp. 133–150 (2013)

    Google Scholar 

  8. Owens, P., Sweller, J.: Cognitive load theory and music instruction. Educ. Psychol. 28(1), 29–45 (2008). https://doi.org/10.1080/01443410701369146

    Article  Google Scholar 

  9. Percival, G., Wang, Y., Tzanetakis, G.: Effective use of multimedia for computer-assisted musical instrument tutoring. In: Proceedings of the International Workshop on Educational Multimedia and Multimedia Education, EMME 2007, pp. 67–76. ACM, New York (2007). https://doi.org/10.1145/1290144.1290156

  10. Robine, M., Percival, G., Lagrange, M.: Analysis of saxophone performance for computer-assisted tutoring. In: Proceedings of the International Computer Music Conference, ICMC 2007, pp. 381–384 (2007)

    Google Scholar 

  11. Sarabia, M., Lee, K., Demiris, Y.: Towards a synchronised grammars framework for adaptive musical human-robot collaboration. In: 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 715–721, August 2015. https://doi.org/10.1109/ROMAN.2015.7333649

  12. Schellenberg, E.G.: Examining the association between music lessons and intelligence. Br. J. Psychol. 102(3), 283–302 (2011). https://doi.org/10.1111/j.2044-8295.2010.02000.x

    Article  MathSciNet  Google Scholar 

  13. Schoonderwaldt, E., Askenfelt, A., Hansen, K.F.: Design and implementation of automatic evaluation of recorder performance in IMUTUS. In: Proceedings of the International Computer Music Conference (ICMC), pp. 97–103 (2005)

    Google Scholar 

  14. Solis, J., Taniguchi, K., Ninomiya, T., Yamamoto, T., Takanishi, A.: The Waseda flutist robot No. 4 refined IV: enhancing the sound clarity and the articulation between notes by improving the design of the lips and tonguing mechanisms. In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2041–2046, October 2007. https://doi.org/10.1109/IROS.2007.4399081

  15. Solis, J., Ninomiya, T., Petersen, K., Takeuchi, M., Takanishi, A.: Development of the anthropomorphic saxophonist robot WAS-1: mechanical design of the simulated organs and implementation of air pressure feedback control. Adv. Robot. 24(5–6), 629–650 (2010). https://doi.org/10.1163/016918610X493516

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mark Zolotas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bagga, S. et al. (2019). instruMentor: An Interactive Robot for Musical Instrument Tutoring. In: Althoefer, K., Konstantinova, J., Zhang, K. (eds) Towards Autonomous Robotic Systems. TAROS 2019. Lecture Notes in Computer Science(), vol 11649. Springer, Cham. https://doi.org/10.1007/978-3-030-23807-0_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-23807-0_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23806-3

  • Online ISBN: 978-3-030-23807-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics