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Matthias Woelfel|John McDonough
author size: 16
USD
111.21
price size: 16
moluna /ZVAB
dealer size: 16
ISBN10: 0470517042, ISBN13: 9780470517048, [publisher: John Wiley & Sons] Hardcover A complete overview of distant automatic speech recognitionThe performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety.
[Greven, Germany] [Publication Year: 2009]
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Wolfel, Matthias; McDonough, John
USD
118.79
GreatBookPrices /Abebooks
ISBN10: 0470517042, ISBN13: 9780470517048, [publisher: Wiley] Hardcover
[Columbia, MD, U.S.A.] [Publication Year: 2009]
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Matthias Woelfel|John McDonough
USD
124.67
moluna /AbebooksDE
ISBN10: 0470517042, ISBN13: 9780470517048, [publisher: John Wiley & Sons] Hardcover A complete overview of distant automatic speech recognitionThe performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety.
[Greven, Germany] [Publication Year: 2009]
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John McDonough
USD
151.49
Grand Eagle Retail /Abebooks
ISBN10: 0470517042, ISBN13: 9780470517048, [publisher: John Wiley & Sons Inc, New York] Hardcover First Edition Hardcover. A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to itProvides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systemsGives relevant background information in acoustics and filter techniques,Explains the extraction and enhancement of classification relevant speech featuresDescribes maximum likelihood as well as discriminative parameter estimation, and maximum l ...
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Wolfel, Matthias; McDonough, John
USD
156.41
GreatBookPricesUK /AbebooksUK
ISBN10: 0470517042, ISBN13: 9780470517048, [publisher: Wiley] Hardcover
[Castle Donington, DERBY, United Kingdom] [Publication Year: 2009]
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Matthias WoIlfel John McDonough Matthias Woelfel
USD
158.05
Cold Books /Biblio
John Wiley & Sons , pp. xix + 573 . Hardback. New. John Wiley & Sons ISBN 0470517042 9780470517048 [US]
Woelfel, Matthias, Dr., and McDonough, John, Dr.
USD
168.52
booksXpress via Alibris /Alibris
Chichester, England Wiley 2009 Hard cover New. Sewn binding. Cloth over boards. 594 p. Contains: Illustrations.
John McDonough
USD
180.29
CitiRetail /AbebooksUK
ISBN10: 0470517042, ISBN13: 9780470517048, [publisher: John Wiley & Sons Inc, New York] Hardcover First Edition Hardcover. A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to itProvides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systemsGives relevant background information in acoustics and filter techniques,Explains the extraction and enhancement of classification relevant speech featuresDescribes maximum likelihood as well as discriminative parameter estimation, and maximum l ...
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John McDonough
USD
200.66
AussieBookSeller /Abebooks AUS
ISBN10: 0470517042, ISBN13: 9780470517048, [publisher: John Wiley & Sons Inc, New York] Hardcover First Edition Hardcover. A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to itProvides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systemsGives relevant background information in acoustics and filter techniques,Explains the extraction and enhancement of classification relevant speech featuresDescribes maximum likelihood as well as discriminative parameter estimation, and maximum l ...
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DISCLOSURE: When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission at no extra cost to you. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network, Amazon and Alibris.


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