Universität Wien

340212 VU Speech Technologies (2023S)

6.00 ECTS (3.00 SWS), SPL 34 - Translationswissenschaft
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 40 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 07.03. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 21.03. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 28.03. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 18.04. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 02.05. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 16.05. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 23.05. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 06.06. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG
  • Tuesday 13.06. 16:45 - 20:00 Hybride Lehre
    Hörsaal 6 Franz-Klein-Gasse 1 EG

Information

Aims, contents and method of the course

Our goal is to provide the students with a comprehensive understanding of the field of speech technolo-gies, which has undergone significant innovation in recent years. Speech technologies enable computers to process and interact with human speech and have a wide range of applications in areas such as lin-guistics, translation, natural language processing, and human-computer interaction. The course will cov-er the basics of automatic speech recognition (ASR) systems, the use of neural networks in speech tech-nologies, the principles of dialogue systems, and practical skills for building and deploying ASR and speech-to-speech systems.
Through a mix of lectures, demonstrations, and hands-on exercises, the course will introduce the students to the fundamental concepts and techniques of speech technologies and will encourage them to apply their knowledge to real-world problems and projects with the help of the acquired knowledge in class. Guest lectures from experts in different fields will provide the students with diverse perspectives on the applications and implications of speech technologies as well as future career opportunities.
The course will not only provide the students with the skills and knowledge needed to work with speech technologies but will also foster critical thinking and creative problem-solving skills, which are essential in this rapidly evolving field. As such, we think, that it is a fundamental course for students interested in pursuing careers in speech technologies, linguistics, translation, or related fields.

Assessment and permitted materials

Participation,
input presentations
programming / written assignments

Minimum requirements and assessment criteria

regular participation, positive completion of all partial performances

Examination topics

Reading list

- Jurafsky, Dan / Martin, James H. (7.1.2023): Speech and Language Processing. 3rd ed. draft: https://web.stanford.edu/~jurafsky/slp3/ .
- Rabiner, Lawrence / Juang, Biing-Hwang (1993): Fundamentals of Speech Recognition. PTR Prentice Hall.
- Nielsen, Michael (2019): Neural Networks and Deep Learning: http://neuralnetworksanddeeplearning.com/ .

Association in the course directory

Last modified: Th 11.05.2023 11:28