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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 includin
Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against a
Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in s
The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication ne
Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are nois