Marc delcroix (36 risultati)

Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condizione: Bon. Merci, votre achat aide à financer des programmes de lutte contre l'illettrisme.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: NEW.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New.

Paperback. Condizione: New. 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 and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research. Softcover reprint of the original 1st ed. 2017.…

Condizione: New.

Paperback. Condizione: Brand New. reprint edition. 9.25x6.10 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.

Condizione: New. In English.

Kartoniert / Broschiert. Condizione: New. Field of automatic speech recognition has evolved greatly since the introduction of deep learningCovers the state-of-the-art in noise robustness for deep neural-network-based speech recognitionIncludes descrip.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. New Era for Robust Speech Recognition | Exploiting Deep Learning | Shinji Watanabe (u. a.) | Taschenbuch | xvii | Englisch | 2018 | Springer | EAN 9783319878492 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.…

Paperback. Condizione: New. 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 and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research. Softcover reprint of the original 1st ed. 2017.…

Softcover. Condizione: Sehr gut. Planetary Astronomy is a comprehensive book about observing, imaging, and studying planets. It has been written under my direction by seven authors, all being skillful amateur observers in their respective domains: Christian Viladrich, Marc Delcroix, Jean-Jacques Poupeau, Frédéric Burgeot, Giuseppe Monachino, and Jean-Pierre Prost. This is a translation of the book Astronomie planétaire who is a great success in France since 2015. Planetary Astronomy is a comprehensive book about observing, imaging, and studying planets. It has been written by seven authors, all being skillful amateur observers in their respective domains: Christian Viladrich, Marc Delcroix, Jean-Jacques Poupeau, Frédéric Burgeot, Giuseppe Monachino, and Jean-Pierre Prost. This is a translation and an update of the book Astronomie planétaire who is a great success in France since 2015. With Planetary Astronomy you will learn to: * Make the best use of your equipment: choosing an instrument, setting correctly the optics of the telescope, setting the camera, using planetary filters, train your eye to see all possible details at the eyepiece * Anticipate weather and seeing conditions, not to lose any good night * Use in depth the best planetary softwares: Autostakkert!, Registax, and WinJupos, how to objectively process details and colors * Identify features on planets: each of the seven planets (but Earth of course) has a detailed chapter that will help you to anticipate cycles of activity on Jupiter, recognize dust storms on Mars, detect bright storms on Uranus or Neptune * Analyse your data to go beyond simple observations: measuring position and details drifting on planets, making cartographies, participate to advanced observing projects including cooperation with scientists. lager xl970 Language: ENG.…

Hardcover. Condizione: Brand New. 436 pages. 9.25x6.25x1.25 inches. In Stock.

Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: new. Questo è un articolo print on demand.

Condizione: new. Questo è un articolo print on demand.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Field of automatic speech recognition has evolved greatly since the introduction of deep learningCovers the state-of-the-art in noise robustness for deep neural-network-based speech recognitionIncludes descrip.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research. 456 pp. Englisch.…