Sprache: Englisch
Verlag: Elsevier Science & Technology, 2006
ISBN 10: 0120885018 ISBN 13: 9780120885015
Anbieter: Better World Books: West, Reno, NV, USA
Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
hardcover. Zustand: Used; Like New. Boston, 2006; illustrated cloth covered boards; mild spine edge wear; 8vo - over 7 3/4" to 9 3/4" tall; previous owner's name blacked out on front end papers; interior pages in like new condition; interior clean and unmarked; 508 pages.
EUR 3,59
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Bon. Légères traces d'usure sur la couverture. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Slight signs of wear on the cover. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations.
EUR 21,49
Anzahl: 1 verfügbar
In den WarenkorbZustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780120885015.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 52,49
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In den WarenkorbZustand: New. In.
EUR 81,57
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In den WarenkorbZustand: New. pp. 540 Illus.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 102510756X ISBN 13: 9781025107561
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Current speech recognition systems tend to be developed only for commercially viable languages. The resources needed for a typical speech recognition system include hundreds of hours of transcribed speech for acoustic models and 10 to 100 million words of text for language models; both of these requirements can be costly in time and money. The goal of this research is to facilitate rapid development of speech systems to new languages by using multilingual phoneme models to alleviate requirements for large amounts of transcribed speech. The GlobalPhone database, which contains transcribed speech from 15 languages, is used as source data to derive multilingual phoneme models. Various bootstrapping processes are used to develop an Arabic speech recognition system starting from monolingual English models, International Phonetic Association (IPA) based multilingual models, and data-driven multilingual models. The Kullback-Leibler distortion measure is used to derive datadriven phoneme clusters. It was found that multilingual bootstrapping methods outperform monolingual English bootstrapping methods on the Arabic evaluation data initially, and after three iterations of bootstrapping all systems show similar performance levels. Applications of this research are in speech recognition, word spotting, information retrieval, and speech-to-speech translation.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025102924 ISBN 13: 9781025102924
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Current speech recognition systems tend to be developed only for commercially viable languages. The resources needed for a typical speech recognition system include hundreds of hours of transcribed speech for acoustic models and 10 to 100 million words of text for language models; both of these requirements can be costly in time and money. The goal of this research is to facilitate rapid development of speech systems to new languages by using multilingual phoneme models to alleviate requirements for large amounts of transcribed speech. The GlobalPhone database, which contains transcribed speech from 15 languages, is used as source data to derive multilingual phoneme models. Various bootstrapping processes are used to develop an Arabic speech recognition system starting from monolingual English models, International Phonetic Association (IPA) based multilingual models, and data-driven multilingual models. The Kullback-Leibler distortion measure is used to derive datadriven phoneme clusters. It was found that multilingual bootstrapping methods outperform monolingual English bootstrapping methods on the Arabic evaluation data initially, and after three iterations of bootstrapping all systems show similar performance levels. Applications of this research are in speech recognition, word spotting, information retrieval, and speech-to-speech translation.
EUR 98,06
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: moluna, Greven, Deutschland
EUR 61,74
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. KlappentextrnrnCurrent speech recognition systems tend to be developed only for commercially viable languages. The resources needed for a typical speech recognition system include hundreds of hours of transcribed speech for acoustic models and 1.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Okt 2012, 2012
ISBN 10: 1286862507 ISBN 13: 9781286862506
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Current speech recognition systems tend to be developed only for commercially viable languages. The resources needed for a typical speech recognition system include hundreds of hours of transcribed speech for acoustic models and 10 to 100 million words of text for language models; both of these requirements can be costly in time and money. The goal of this research is to facilitate rapid development of speech systems to new languages by using multilingual phoneme models to alleviate requirements for large amounts of transcribed speech. The GlobalPhone database, which contains transcribed speech from 15 languages, is used as source data to derive multilingual phoneme models. Various bootstrapping processes are used to develop an Arabic speech recognition system starting from monolingual English models, International Phonetic Association (IPA) based multilingual models, and data-driven multilingual models. The Kullback-Leibler distortion measure is used to derive datadriven phoneme clusters. It was found that multilingual bootstrapping methods outperform monolingual English bootstrapping methods on the Arabic evaluation data initially, and after three iterations of bootstrapping all systems show similar performance levels. Applications of this research are in speech recognition, word spotting, information retrieval, and speech-to-speech translation.
Zustand: Gut. Zustand: Gut | Seiten: 540 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 540 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Sprache: Englisch
Verlag: Elsevier Science & Technology|Academic Press, 2005
ISBN 10: 0120885018 ISBN 13: 9780120885015
Anbieter: moluna, Greven, Deutschland
EUR 107,77
Anzahl: Mehr als 20 verfügbar
In den WarenkorbGebunden. Zustand: New. Presents an overview of speech processing from a multilingual perspective. This work includes theories, algorithms, and techniques that are required to support spoken input and output in a variety of languages. It also contains technological advances integr.