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Overview of Part II, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong

Overview of Part II, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong. Audio signal processing Signals in time & frequency domains Audio feature extraction techniques Time/Frequency domain Linear predicted coding Vector quantization Cepstral coefficients

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Overview of Part II, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong

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  1. Overview of Part II, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong • 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

  2. A.I. techniques in this course • Features from sound • Vector quantitation • 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. Overview of CMSC5707

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