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Geometric Brownian Motion

This class introduces students to speech recognition techniques. We will discuss why speech recognition is difficult. For example,how is is possible for a computer to recognize multilingual speech. The class will focus on the back end speech recognition processes after algorithms execute to extract a feature vectors from the raw sound signal. Among the algorithms we will consider are Hidden Markov, Viterbi, pattern recognition, vocabulary search, and phonetic analysis. We will describe the acoustic and language models that are popular for modern speech recognition systems.


Handouts Power Point
Quiz Answers Labs
Email Professor Class Broadcast
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