Da: The Book Corner, Beaverton, OR, U.S.A.
hardcover. Condizione: 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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Da: INDOO, Avenel, NJ, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2012
ISBN 10: 1119970881 ISBN 13: 9781119970880
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Hardcover. Condizione: 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.
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 514 | Sprache: Englisch | Produktart: Bücher | 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.
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2012
ISBN 10: 1119970881 ISBN 13: 9781119970880
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 143,67
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Aggiungi al carrelloHardback. Condizione: 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.
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Da: Ubiquity Trade, Miami, FL, U.S.A.
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 143,71
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Aggiungi al carrelloCondizione: 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. . . . .
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 155,38
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Aggiungi al carrelloCondizione: 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. . . . .
Da: Revaluation Books, Exeter, Regno Unito
EUR 156,37
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 514 pages. 9.75x6.75x1.00 inches. In Stock.
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Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2012
ISBN 10: 1119970881 ISBN 13: 9781119970880
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione
EUR 142,89
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Aggiungi al carrelloHardcover. Condizione: 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.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: 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.