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.