Skip to main content

Lessons Learned from Distance Collaboration in Live Culture

  • Conference paper
  • First Online:
Human Interaction, Emerging Technologies and Future Applications IV (IHIET-AI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1378))

  • 1394 Accesses

Abstract

Classical music is an important part of European intangible cultural heritage. The musical knowledge, experience and artistic interpretation are passed between generations by teachers, students and artists. The communication between musicians across Europe is very important for sharing different views and enriching experience. When distant musicians are connected by audiovisual transmissions with sufficiently low latency and high quality, new types of distant collaboration are possible. In this paper, we describe some lessons learned from using low-latency network audiovisual transmissions to connect distance musicians which enables novel scenarios of real-time collaboration and distance learning.

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 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
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

References

  1. Koutsoupidou, T.: Online distance learning and music training: benefits, drawbacks and challenges. Open Learn. 29(3), 243–255 (2014)

    Article  Google Scholar 

  2. Drioli, C., Allocchio, C., Buso, N.: Networked performances and natural interaction via LoLa: low latency high quality A/V streaming system. In: 2nd International Conference on Information Technologies for Performing Arts, Media Access and Entertainment, ECLAP 2013 (2013). https://doi.org/10.1007/978-3-642-40050-621

  3. Gurevich, M., Chafe, C., Leslie, G., Tyan, S.: Simulation of networked ensemble performance with varying time delays: characterization of ensemble accuracy. In: Proceedings of the International Computer Music Conference, Miami (2004)

    Google Scholar 

  4. Chafe, C., Cáceres, J.-P., Gurevich, M.: Effect of temporal separation on synchronization in rhythmic performance. Perception 39(7), 982–992 (2010)

    Article  Google Scholar 

  5. Ubik, S., Pospíšilík, J.: Video camera latency and measurement. IEEE Trans. Circuit Syst. Video Technol. 30(3) (2020). https://doi.org/10.1109/tcsvt.2020.2978057

  6. RDD 35:2016, TICO Lightweight Codec Used in IP Networked or in SDI Infrastructures, SMPTE (2016). https://doi.org/10.5594/smpte.rdd35.2016

  7. Ubik, S., Halák, J., Melnikov, J., Kolbe, M.: Ultra-low-latency video transmissions for delay sensitive collaboration. In: 9th Mediterranean Conference on Embedded Computing (MECO 2020), Budva, Montenegro (2020)

    Google Scholar 

Download references

Acknowledgments

The research and development presented in this paper were supported by the project Distance collaboration in performing art education with modern communication technologies (TL01000106) co-funded by the Technology Agency of the Czech Republic under the ETA Programme.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sven Ubik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ubik, S., Halák, J., Kolbe, M., Melnikov, J., Frič, M. (2021). Lessons Learned from Distance Collaboration in Live Culture. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_77

Download citation

Publish with us

Policies and ethics