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 CMSC57071 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 CMSC57072

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