Understanding Speech Recognition and Natural Language Processing (NLP) (Pilot)

Type of course:

Digital learning, Lesson

Language:

Duration:

40 minutes

Proficiency:

Beginner

Target:

Students, Workers, Manager

SUMMARY

This course gives an overview of Speech Recognition and Natural Language Processing (NLP) in Voice Assistant Systems. The aim is to introduce limitations and possibilities of voice recognition and NLP in AI assistants. It is important to adress common challenges like accents, languages and environmental noice. Moreover, gaining knowledge about all the possibilities of those systems can be very advantageous in todays industry.

About The Author

The TU Wien team has been a pioneering force in establishing Teaching and Learning Factories (TLFs) in Austria, prominently with the TU Wien Pilot Factory Industry 4.0. As the lead partner, TU Wien takes charge of overall project management and actively contributes to all work packages. In this project, TU Wien’s TLF stands as a role model and knowledge source. Through TLF and numerous educational initiatives, TU Wien is dedicated to advancing AI skills. The effort is represented by the Production and Maintenance Management research group at TU Wien.

Learning outcomes

By the end of this lesson, learners will be able to have an understanding of the limitations and possibilities of voice recognition and NLP in AI assistants.
By the end of this lesson, learners will have acquired knowledge about the challenges in this regard.
By the end of this lesson, learners will know how voice assistants interpret voice commands and respond.