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About Cs 224S / Linguist 281 Speech Recognition, Synthesis, and Dialogue
The document discusses acoustic modeling for speech recognition. It outlines Hidden Markov Models and how they are used for acoustic modeling. It describes increasingly complex acoustic models including Gaussian, multivariate Gaussian, and mixture of multivariate Gaussian models. The summary trains the acoustic models in a process called embedded training where the models are trained on unlabeled speech data within the context of full utterances rather than isolated phones or words.
Detailed Information
| Author: | ['Burime Grajqevci'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 59 |
| Language: | English |
| Format: | |
| Price: | FREE |
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