Speech Technology (Master's Level)
7.5 credits
Syllabus, Master's level, 5LN703
A revised version of the syllabus is available.
- 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, 30 November 2018
- Responsible department
- Department of Linguistics and Philology
General provisions
The course can be given in the Master's Programme in language technology
Entry requirements
Completed courses corresponding to 30 credits in language technology from the Master programme 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.