F20CA Conversational Agents and Spoken Language Processing

Course co-ordinator(s): Matthew Aylett (Edinburgh), Gavin Abercrombie (Edinburgh).

Aims:

This course aims to give students the opportunity to develop:

  • Knowledge and understanding of design, implementation and evaluation techniques for conversational agents and spoken language processing.
  • An awareness of current research and emerging issues in the field of conversational agents and spoken language processing.
  • Knowledge that covers a range of interdisciplinary research methods and specialised practical skills involved in building working conversational interfaces.

Detailed Information

Course Description: Link to Official Course Descriptor.

Pre-requisite course(s): F29AI Artificial Intelligence and Intelligent Agents or equivalent. Programming skills..

Location: Edinburgh.

Semester: 2.

Syllabus:

This course covers current and emerging topics in conversational agents, spoken language processing, and multimodal interfaces, including:

  • Introduction to research areas, such as spoken dialogue systems, multi-modal interaction, natural language processing, and human robot interaction.
  • Spoken input processing and interpretation.
  • Interaction Management.
  • Output generation, multimodal fission, speech and gesture synthesis
  • System development and evaluation.

SCQF Level: 10.

Credits: 15.