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FDT3319 Topics in speech technology I 3.0 credits

Administer About course

This course focusses on the latest research and state-of-the-art developments in, or relevant to, speech technology. Through reading and discussing relevant research papers, students gain insight into the current state of the field and explore recent trends and emerging approaches. Example topics include speech synthesis, speech recognition, speaker recognition and verification, generative machine learning, signal processing, datasets, speech perception, spoken and embodied conversation, evaluation, and interactive technologies. Upon successfully completing the course, students will have a better understanding of speech technology and will be better equipped as researchers in the field.

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FDT3319 (Spring 2025–)
Headings with content from the Course syllabus FDT3319 (Spring 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

The course takes the form of a reading group where students meet at regular seminar sessions, each approximately one hour long. At each session, a designated student introduces and leads a joint discussion of a research article relevant speech technology and to their research interests. The chosen article is shared with the other students ahead of time. The other students prepare for the session by having read the same article and participate actively in the discussion. The role of session lead rotates among the students.

Although the sessions are in-person by default, remote participation is possible where necessary.

Course contents

No information inserted

Intended learning outcomes

No information inserted

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

Participants must be doctoral students, but in the interest of attracting early-stage PhD students we do not require any specific prerequisite courses.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

P, F

Examination

  • DEL1 - Active participation, 1.5 credits, grading scale: P, F
  • KON1 - Online quizzes, 1.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Examiner

No information inserted

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Speech, Music and Hearing

Education cycle

Third cycle

Postgraduate course

Postgraduate courses at EECS/Speech, Music and Hearing