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Pages: 277
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media
In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust rec
Language: en
Pages: 514
Pages: 514
Type: BOOK - Published: 2012-11-28 - Publisher: John Wiley & Sons
Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are nois
Language: en
Pages: 457
Pages: 457
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the
Language: en
Pages: 308
Pages: 308
Type: BOOK - Published: 2015-10-30 - Publisher: Academic Press
Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against a
Language: en
Pages: 433
Pages: 433
Type: BOOK - Published: 2017-10-30 - Publisher: Springer
This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights