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--- course_outline [2011/11/16 19:17] – hj
+++ course_outline [2011/11/17 02:36] (current) – hj
@@ Line 10: / Line 10: @@
 ===== Week 2 =====
-**Math Background**: probabilities; Bayes theorem; statistics; estimation; regression; hypothesis testing; Entropy; mutual information; decision tree; Optimization theory and convex optimization
+**Math Background**: probabilities; Bayes theorem; statistics; estimation; regression; hypothesis testing; entropy; mutual information; decision tree; optimization theory and convex optimization
 ===== Week 3 =====
@@ Line 18: / Line 18: @@
 ===== Week 4 =====
-**Generative Models**: Model estimation: maximum likelihood, Bayesian learning, EM algorithm; Gaussian, Gaussian mixture model, Multinomial, Markov Chain model, etc.
+**Generative Models**: model estimation: maximum likelihood, Bayesian learning, EM algorithm; multivariate Gaussian, Gaussian mixture model, Multinomial, Markov Chain model, etc.
 ===== Week 5 =====
@@ Line 34: / Line 34: @@
 ===== Week 8 =====
-**Automatic Speech Recognition (ASR) (I)**: Acoustic and Language Modeling
+**Automatic Speech Recognition (ASR) (I)**: Acoustic and Language Modeling:
-how to use HMM for ASR;  ASR as an example of pattern classification;
+HMM for ASR;  ASR as an example of pattern classification;
-Acoustic modeling: HMM learning (ML, MAP); Parameter tying (decision tree based state tying), n-grams, smoothing, learning, perplexity, class-based
+Acoustic modeling: HMM learning (ML, MAP, DT); parameter tying (decision tree based state tying); n-gram models: smoothing, learning, perplexity, class-based.
 ===== Week 9 =====
-**Automatic Speech Recognition (ASR) (II)**: Search, Why search; Viterbi decoding in a large HMM; Beam search; Tree-based lexicon; dynamic decoding; static decoding; weighted finite state transducer (WFST)
+**Automatic Speech Recognition (ASR) (II)**: Search - why search; Viterbi decoding in a large HMM; beam search; tree-based lexicon; dynamic decoding; static decoding; weighted finite state transducer (WFST)
 ===== Week 10 =====