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--- course_outline [2011/11/17 02:34] – hj
+++ course_outline [2011/11/17 02:36] (current) – hj
@@ 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 =====