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Explain how computer controlled responses are generated in modern CAI systems
Affective (Attitudes and Values)
On successful completion of this module, students will be able to:
Explain the difference between a scripted Chatbot and a conversational artificial intelligence system.
Characterise the performance of a CAI system.
Demonstrate an understanding of how useful information is extracted from raw speech in CAI systems.
Psychomotor (Physical Skills)
N/A
How the Module will be Taught and what will be the Learning Experiences of the Students:
Materials will be delivered in a blended manner through weekly pre-recorded sessions and live class sessions. The course material will include video recordings as well as readings, exercises, and assignments. The focus is on the reduction of theory to practice so there will be a strong emphasis on developing participan...
Research Findings Incorporated in to the Syllabus (If Relevant):
Prime Texts:
Jurafsky, Daniel, & Martin, James H. (2008) Speech and Language Processing: International Version: an Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Pearson
Uday, K. and Liu, J. (2020) Deep Learning for NLP and Speech Recognition, Springer
Other Texts:
Wu Chou,& Biing-Hwang Juang (2005) Pattern Recognition in Speech and Language Processing (Electrical Engineering & Applied Signal Processing Series), CRC Press
Rabiner, L. and Schafer, R. (2010) Theory and Applications of Digital Speech Processing, Pearson
Programmes
Semester(s) Module is Offered:
Spring
Module Leader:
Generic PRS
________________
Module Code - Title:
CE2012 - PROGRAMMING FOUNDATIONS FOR CONVERSATIONAL AI
Year Last Offered:
2020/1
Hours Per Week
Lecture
Lab
Tutorial
Other
Private
Credits
1
0
1
0
3
3
Grading Type:
N
Prerequisite Modules:
Rationale and Purpose of the Module:
Conversational Artificial Intelligence is the software and processes by which speech is transformed into input for computers and smart devices.
This module will provide students with an overview of the programming foundations that are used to engineer modern Conversational AI (CAI) systems.
Syllabus:
An introduction to scripting Languages and Environments for Scientific Computing: An introduction to the syntax of one modern scripting languages (e.g. Python, Julia or the latest equivalent) and environments.