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Research Findings Incorporated in to the Syllabus (If Relevant): |
Prime Texts: |
Jurafsky, Daniel. |
and Martin, James H. (2008) Speech and Language Processing: International Edition, Pearson |
Other Texts: |
Kamath, Uday. and Liu, John. (2020) Deep Learning for NLP and Speech Recognition, Springer |
Programmes |
Semester(s) Module is Offered: |
Spring |
Module Leader: |
Generic PRS |
________________ |
Module Code - Title: |
CE2003 - THEORY AND PRACTICE FOR CONVERSATIONAL AI |
Year Last Offered: |
2020/1 |
Hours Per Week |
Lecture |
Lab |
Tutorial |
Other |
Private |
Credits |
2 |
0 |
2 |
0 |
6 |
6 |
Grading Type: |
N |
Prerequisite Modules: |
Rationale and Purpose of the Module: |
Conversational Artificial Intelligence (CAI) is the software and processes by which speech is transformed into input for computers and smart devices. |
This module will provide students with practical insights regarding the theoretical concepts that underpin modern Conversational AI systems. |
Syllabus: |
Introduction to machine learning for Conversational AI, (CAI). Scripted versus CAI systems for Human Computer spoken word interaction. |
Neural Networks for CAI. The definition and application of RNN, CNN, DNN, xNN subsystems to CAI. |
Speech recognition, language modeling and language decoding for CAI. Evaluation of Speech recognition tools. Data collection and labelling for training in CAI. Bag of words testing. An introduction to N-gram based modelling of speech. |
Evaluation of intent in CAI. Development of training sentences. Evaluation of Semantics, context and embedding in CAI systems. |
Dialog management: Introduction to Reasoning and Response generation in computer-based CAI systems. |
Learning Outcomes: |
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis) |
On successful completion of this module, students will be able to: |
Identify the fundamental components of a Conversational AI (CAI) system |
Decode elementary speech patterns for use in CAI systems. |
Determine intent from uttered speech data in CAI systems. |
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