340212 VU Speech Technologies (2023S)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 06.02.2023 09:00 to Fr 17.02.2023 17:00
- Registration is open from Mo 06.03.2023 09:00 to Fr 10.03.2023 17:00
- Deregistration possible until Fr 31.03.2023 23:59
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
Assessment and permitted materials
Participation,
input presentations
programming / written assignments
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/ .
- 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
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.