top of page

The use of speech recognition techniques as a new method of automating communication management in an organization

Anna Maria Kamińska

Wrocław University of Science and Technology, Faculty of Computer Science and Management

27 Wybrzeże Wyspiańskiego st., 50-370 Wroclaw, Poland

e-mail: anna.maria.kaminska@pwr.edu.pl

ORCID: 0000-0002-6638-1155

Keywords:
speech recognition techniques, communication management, communication ecosystem.

Łukasz Radliński

Wrocław University of Science and Technology, Faculty of Computer Science and Management

27 Wybrzeże Wyspiańskiego st., 50-370 Wroclaw, Poland

e-mail: 254266@student.pwr.edu.pl

Abstract

Nowadays, when stationary work has been changed into remote work, the efficiency of it is becoming more and more important. There are many tools to increase it, but all of them offer limited services. What if we could offer entrepreneurs automated real-time creation of documents such as reports, or records of meetings? Such solutions are already present in the market, but are related to a large margin of error. Building a tool that will “teach itself” is now a challenge. The aim of the article is to outline the concept of a method of automating communication management in an organization through the use of speech recognition learning tools. The article will discuss the equality between the traditional form of creating documents and the automated one, as well as the idea and principles of the speech recognition system. This article should be seen as an introduction to the issue of speech recognition. The authors have started work on a tool that will automate the reporting of meetings in the future.

received:   24.05.2021
corrected:  09.06.2021
accepted: 18.06.2021

References

  1. Bourne, L. (2015). Making projects work. Effective stakeholder and communication management. CRC Press. Retrieved April 22, 2021, from https://www.routledge.com/Making-Projects-Work-Effective-Stakeholder-and-Communication-Management/Bourne/p/ book/9781482206661

  2. Hirschorn, D. S. & Horii, S. C. (2006) PACS Workstation Software. In: K. J. Dreyer, D. S. Hirschorn, J. H. Thrall, & A. Mehta, (Eds.). (2006). PACS. Guide to the Digital Revolution (pp. 385–431). New York: Springer.

  3. Mehta, A. (2002), Voice recognition. In: K. J. Dreyer, A. Mehta, & J. H. Thrall (Eds.) PACS. New York: Springer. https://doi.org/10.1007/978-1-4757-3651-9_11

  4. Nguyen, M. H., Gruber, J., Fuchs, J., Marler, W., Hunsaker, A., & Hargittai, E. (2020). Changes in digital communication during the COVID-19 global pandemic: Implications for digital inequality and future research. Social Media + Society, 6(3), 1–6.

  5. Radcomp. (2019, March 13) Czym Magic Speech Scribe różni się od innych? [Blog post]. Retrieved April 15, 2021, from https://magicscribesklep.pl/pl/n/3

  6. Seiler, D. (ed.). (2020). How COVID-19 has pushed companies over the technology tipping point–and transformed business forever. McKinsey & Co. Retrieved April 12, 2021, from https://www.mckinsey.com/business-functions/strategy-and-corporate-finance/ our-insights/how-covid-19-has-pushed-companies-over-thetechnology-tipping-point-and-transformed-business-forever#

  7. Simon, S. J. & Paper, D. (2007). User acceptance of voice recognition technology: An empirical extension of the technology acceptance model. Journal of Organizational and End User Computing 19(1), 24-50. DOI:10.4018/978-1-60566-136-0.ch010

bottom of page