Speech Technology (Master's Level)
7.5 credits
Syllabus, Master's level, 5LN703
- Code
- 5LN703
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Language Technology A1N
- Grading system
- Pass with distinction (VG), Pass (G), Fail (U)
- Finalised by
- The Department Board, 2 September 2022
- Responsible department
- Department of Linguistics and Philology
General provisions
The course can be given in the Master's Programme in language technology
Entry requirements
30 credits in language technology
Learning outcomes
In order to pass the course the student is required to:
- Describe speech from an acoustic, phonetic, and linguistic perspective
- Explain how computers recognize speech with statistical methods, and evaluate the recognition results
- Describe and judge different methods used to produce speech with computers
- Analyze speech-driven dialogue systems with respect to application, components, functionality and user aspects
- Describe how evaluation of speech technology systems work and describe the special requirements that are
posed by this type of system
- Design and describe data collections for speech technology research and development
- Give an account of available state-of-the art speech technology and exemplify the current speech research on e.g., mobile systems and IT applications
- Apply the theoretical knowledge in small speech technology projects
Content
See intended learning outcomes.
Instruction
Lectures and supervised lab work.
Assessment
Assignments, a project presentation, and a written examination.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.