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.

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