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.

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