F20CA - Conversational Agents and Spoken Language Processing
Course leader(s):
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.
Syllabus
1. Introduction to research areas, such as spoken dialogue systems, multi-modal interaction, natural language processing, and human robot interaction.
2. Spoken input processing and interpretation.
3. Interaction Management.
4. Output generation, multimodal fission, speech and gesture synthesis.
5. System development and evaluation.
Learning outcomes
By the end of the course, students should be able to do the following:
- Demonstrate an understanding of how to review, critically analyse, evaluate and synthesize previous research in the field of conversational agents and spoken language processing.
- Apply algorithmic and interdisciplinary methods on conversational interfaces.
- Make informed judgments about appropriate methodologies for developing and evaluating conversational interfaces.
- Implement conversational interfaces using a suitable programming language and software tools.
- Manage and organise time and resources.
- Carry out limited research and write appropriate reports on the results.
- Present research to a knowledgeable audience.
- Take responsibility for their own and other’s work by contributing effectively and conscientiously to the work of a group, actively maintaining, good working relationships with group members, and lead the direction of the group where appropriate.
Further details
Curriculum explorer: Click here
SCQF Level: 10
Credits: 15
