Librería: The Book Corner, Beaverton, OR, Estados Unidos de America
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Añadir al carritohardcover. Condición: New. Hardback. No dust jacket. Cover edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
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Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2012
ISBN 10: 1119970881 ISBN 13: 9781119970880
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Original o primera edición
EUR 129,99
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Añadir al carritoHardcover. Condición: new. Hardcover. Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech.Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments.Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR.Includes contributions from top ASR researchers from leading research units in the field With the growing use of automatic speech recognition (ASR) in everyday life, the ability to solve problems in recorded speech is critical for engineers and researchers developing ASR technologies. The only resource of its kind, this book presents a comprehensive survey of state-of-the-art techniques used to improve the robustness of ASR systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2012
ISBN 10: 1119970881 ISBN 13: 9781119970880
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 143,87
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Añadir al carritoHardback. Condición: New. Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech.Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments.Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR.Includes contributions from top ASR researchers from leading research units in the field.
Librería: California Books, Miami, FL, Estados Unidos de America
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Añadir al carritoHardcover. Condición: New.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2012
ISBN 10: 1119970881 ISBN 13: 9781119970880
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoCondición: New. With the growing use of automatic speech recognition (ASR) in everyday life, the ability to solve problems in recorded speech is critical for engineers and researchers developing ASR technologies. The only resource of its kind, this book presents a comprehensive survey of state-of-the-art techniques used to improve the robustness of ASR systems. Editor(s): Virtanen, Tuomas; Singh, Rita; Raj, Bhiksha. Num Pages: 514 pages, Illustrations. BIC Classification: UYQS. Category: (P) Professional & Vocational. Dimension: 247 x 175 x 29. Weight in Grams: 918. . 2012. 1st Edition. Hardcover. . . . .
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: As New. Unread book in perfect condition.
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Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2018
ISBN 10: 1119279895 ISBN 13: 9781119279891
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoCondición: New. Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. Num Pages: 512 pages. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 244 x 170. . . 2018. Hardcover. . . . .
Librería: Revaluation Books, Exeter, Reino Unido
EUR 157,90
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 514 pages. 9.75x6.75x1.00 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Brand New. 470 pages. 9.75x6.75x1.25 inches. In Stock.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2012
ISBN 10: 1119970881 ISBN 13: 9781119970880
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición
EUR 144,29
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Añadir al carritoHardcover. Condición: new. Hardcover. Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech.Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments.Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR.Includes contributions from top ASR researchers from leading research units in the field With the growing use of automatic speech recognition (ASR) in everyday life, the ability to solve problems in recorded speech is critical for engineers and researchers developing ASR technologies. The only resource of its kind, this book presents a comprehensive survey of state-of-the-art techniques used to improve the robustness of ASR systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 180,47
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Añadir al carritoCondición: New. With the growing use of automatic speech recognition (ASR) in everyday life, the ability to solve problems in recorded speech is critical for engineers and researchers developing ASR technologies. The only resource of its kind, this book presents a comprehensive survey of state-of-the-art techniques used to improve the robustness of ASR systems. Editor(s): Virtanen, Tuomas; Singh, Rita; Raj, Bhiksha. Num Pages: 514 pages, Illustrations. BIC Classification: UYQS. Category: (P) Professional & Vocational. Dimension: 247 x 175 x 29. Weight in Grams: 918. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
EUR 145,39
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Añadir al carritoGebunden. Condición: New. EMMANUEL VINCENT is a Senior Research Scientist with Inria, Nancy, France. His research focuses on machine learning for speech and audio signal processing. He has been working on audio source separation for 15 years and co-authored over 180 publications in .