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| Contributors | ||
| Preface | ||
| 1 | An Overview of Automatic Speech Recognition | 1 |
| 2 | An Overview of Speaker Recognition Technology | 31 |
| 3 | Maximum Mutual Information Estimation of Hidden Markov Models | 57 |
| 4 | Bayesian Adaptive Learning and Map Estimation of HMM | 83 |
| 5 | Statistical and Discriminative Methods for Speech Recognition | 109 |
| 6 | Context Dependent Vector Quantization for Speech Recognition | 133 |
| 7 | Hidden Markov Network for Precise Acoustic Modeling | 159 |
| 8 | From HMMS to Segment Models: Stochastic Modeling for CSR | 185 |
| 9 | Voice Identification Using Nonparametric Density Matching | 211 |
| 10 | The Use of Recurrent Networks in Continuous Speech Recognition | 233 |
| 11 | Hybrid Connectionist Models for Continuous Speech Recognition | 259 |
| 12 | Automatic Generation of Detailed Pronunciation Lexicons | 285 |
| 13 | Word Spotting - Extracting Partial Information from Continuous Utterances | 303 |
| 14 | Spectral Dynamics for Speech Recognition Under Adverse Conditions | 331 |
| 15 | Signal Processing for Robust Speech Recognition | 357 |
| 16 | Dynamic Programming Search: From Digit Strings to Large Vocabulary Word Graphs | 385 |
| 17 | Fast Matching Techniques | 413 |
| 18 | Multiple-Pass Search Strategies | 429 |
| 19 | Issues in Practical Large Vocabulary Isolated Word Recognition: The IBM Tangora System | 457 |
| 20 | From Sphinx-II to Whisper: Making Speech Recognition Usable | 481 |
| Index | 509 |
| Price | Condition | Delivery | Seller | Action |
| $280.08 | Digital |
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Add Automatic Speech and Speaker Recognition: Advanced Topics, Research in the field of automatic speech and speaker recognition has made number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption o, Automatic Speech and Speaker Recognition: Advanced Topics to the inventory that you are selling on WonderClubX
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Add Automatic Speech and Speaker Recognition: Advanced Topics, Research in the field of automatic speech and speaker recognition has made number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption o, Automatic Speech and Speaker Recognition: Advanced Topics to your collection on WonderClub |