Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
Da: Basi6 International, Irving, TX, U.S.A.
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Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
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Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
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Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 556 | Sprache: Englisch | Produktart: Bücher | Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning, auditory modeling, perception and cognition, psychology, pattern recognition, and artificial intelligence. However, the developments made so far are fragmented within these disciplines, lacking connections and incurring potentially overlapping research activities in this subject area. Machine Audition: Principles, Algorithms and Systems contains advances in algorithmic developments, theoretical frameworks, and experimental research findings. This book is useful for professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and learn how to build advanced human-computer interactive systems.
Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains advances in algorithmic developments, theoretical frameworks, and experimental research findings. This book is suitable for professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio s.
Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Machine Audition | Principles, Algorithms and Systems | Wenwu Wang | Buch | Gebunden | Englisch | 2010 | Information Science Reference | EAN 9781615209194 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615209190 ISBN 13: 9781615209194
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 236,26
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning, auditory modeling, perception and cognition, psychology, pattern recognition, and artificial intelligence. However, the developments made so far are fragmented within these disciplines, lacking connections and incurring potentially overlapping research activities in this subject area. Machine Audition: Principles, Algorithms and Systems contains advances in algorithmic developments, theoretical frameworks, and experimental research findings. This book is useful for professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and learn how to build advanced human-computer interactive systems.