This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
Automatic Speech Recognition: A Deep Learning Approach
321
Automatic Speech Recognition: A Deep Learning Approach
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Product Details
| ISBN-13: | 9781447157793 |
|---|---|
| Publisher: | Springer-Verlag New York, LLC |
| Publication date: | 11/11/2014 |
| Series: | Signals and Communication Technology |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 321 |
| File size: | 5 MB |