Overview of Part I, CMSC5707 Advanced Topics in Artificial Intelligence

KH Wong (6 weeks)

• Audio signal processing– Signals in time & frequency domains– Audio feature extraction techniques

• Time/Frequency domain• Linear predicted coding• Vector quantization• Cepstral coefficients

– Recognition Procedures– Music pitch estimation

• Face detection– Detection using a classification method :Adaboost– Face detection example using Adaboost

Overview of CMSC5707 1

Week1

A.I. techniques in this course• Features from sound• Vector quantization

– Can be used in many different applications

• Dynamic program – Can be used for speech recognition and many applications

• Pitch extraction for music signal analysis– Can be used for building music recommendation system, music data

base analysis

• Face detection– AdaBoost– a classification technique, can be used in many A.I. fields.– Artificial Neural networks

Overview of CMSC5707 2

3

Course Outline (6 Weeks)Course Outline (6 Weeks)for Professor K.S. Leungfor Professor K.S. Leung

• Introduction to Expert System

• Introduction to Fuzzy Logic

• Fuzzy Expert Systems & Shell

• Inference Engine

• Linguistic Approximation

• Fuzzy Query (Databases)

• Applications

• Fuzzy Control

• Introduction to Genetic algorithm