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Book Categories |
| Preface | ||
| Ch. 1 | The Speech Recognition Problem | 1 |
| Ch. 2 | Hidden Markov Models | 15 |
| Ch. 3 | The Acoustic Model | 39 |
| Ch. 4 | Basic Language Modeling | 57 |
| Ch. 5 | The Viterbi Search | 79 |
| Ch. 6 | Hypothesis Search on a Three and the Fast Match | 93 |
| Ch. 7 | Elements of Information Theory | 113 |
| Ch. 8 | The Complexity of Tasks - The Quality of Language Models | 137 |
| Ch. 9 | The Expectation-Maximization Algorithm and its Consequences | 147 |
| Ch. 10 | Decision Trees and Tree Language Models | 165 |
| Ch. 11 | Phonetics from Orthography: Spelling-to-Base Form Mappings | 197 |
| Ch. 12 | Triphones and Allophones | 207 |
| Ch. 13 | Maximum Entropy Probability Estimation and Language Models | 219 |
| Ch. 14 | Three Applications of Maximum Entropy Estimation to Language Modeling | 245 |
| Ch. 15 | Estimation of Probabilities from Counts and the Back-Off Method | 257 |
| Name Index | 275 | |
| Subject Index | 279 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Edward R. Fisher
reviewed Statistical Methods for Speech Recognition on March 04, 2018 Statistical Methods for Speech Recognition
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Add Statistical Methods for Speech Recognition, This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models,decision trees, the expectation-maximization algorithm, information theore, Statistical Methods for Speech Recognition to the inventory that you are selling on WonderClubX
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Add Statistical Methods for Speech Recognition, This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models,decision trees, the expectation-maximization algorithm, information theore, Statistical Methods for Speech Recognition to your collection on WonderClub |
