overview of part i, cmsc5707 advanced topics in artificial intelligence kh wong (6 weeks) audio...
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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