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| About the authors | ||
| Foreword | ||
| Preface | ||
| Acknowledgments | ||
| Pt. A | Speech Communication by Humans and Machines | 1 |
| Ch. 1 | Nature and Perception of Speech Sounds | 3 |
| Ch. 2 | Background on Speech Analysis | 37 |
| Ch. 3 | Fundamentals of Automatic Speech Recognition | 73 |
| Pt. B | Robustness in ASR: Problems and Issues | 125 |
| Ch. 4 | Speaker Variability and Specificity | 127 |
| Ch. 5 | Dealing with Noisy Speech and Channel Distortions | 155 |
| Pt. C | Possible Solutions and Some Perspectives | 191 |
| Ch. 6 | The Current Technology and Its Limits: An Overview | 193 |
| Ch. 7 | Towards Robust Speech Analysis | 207 |
| Ch. 8 | On the Use of a Robust Speech Representation | 233 |
| Ch. 9 | ASR of Noisy, Stressed, and Channel Distorted Speech | 273 |
| Ch. 10 | Word-Spotting and Rejection | 325 |
| Ch. 11 | Spontaneous Speech | 347 |
| Ch. 12 | On the Use of Knowledge in ASR | 371 |
| Ch. 13 | Application Domain, Human Factors, and Dialogue | 393 |
| Appendix | 429 | |
| Index | 431 |
| Price | Condition | Delivery | Seller | Action |
| $296.64 | Digital |
| WonderClub |
Lorien Crawford
reviewed Robustness In Automatic Speech Recognition on January 05, 2009
Robustness In Automatic Speech Recognition
In this book you learn how important it is to speak language rather than mumble it. For example, if I said to you: "Hum ma num ma mum pa lo ma oh," you would take me for a lunatic. If I said: "Hello there, my name is Greg. My role in this narrative is vital," you would understand me. Of course, you can't translate spoken language, you need to write it down and then translate it, so this title is silly and misleading. Apart from these criticisms, I believe this might be the most important academic text since Lydia Barthes's On the Importance of Crushing Harold's Balls in a Vice.
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Add Robustness In Automatic Speech Recognition, The domain of speech processing has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how this technology will transform our future. One important problem is to improve robustnes, Robustness In Automatic Speech Recognition to your collection on WonderClub |