Idioma: Inglés
Publicado por Editorial Academica Espanola, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 72.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -The classification of music is a vital part of Music Information Retrieval. We have a number of ways to classify music based on its features either audible or extracted and viewed. We can use Low or High level characteristics to proceed with this classification. We also select the salient themes in a track to portray its content and classify it. There is a link between certain features we use for classification and determining the beat of a track. All three processes have been used with a relatively high accuracy every time, with the exception of jazz and classical music due to its unstructured and complex content. More features can be selected and used in its classification. Another possible way of classification is by using spectral plots of the features of a signal which is again obtained by processing the signal and then plotting the information received. This method is more efficient method of classification of classical music because of the distinct forms of plots generated in the processing of the signal. This approach is discussed in this scholarly work.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Classical Music Classification using DSP Techniques | Digital Signal Processing Techniques applied to Music | Benjamin Nagarajan | Taschenbuch | 72 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846580509 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The classification of music is a vital part of Music Information Retrieval. We have a number of ways to classify music based on its features either audible or extracted and viewed. We can use Low or High level characteristics to proceed with this classification. We also select the salient themes in a track to portray its content and classify it. There is a link between certain features we use for classification and determining the beat of a track. All three processes have been used with a relatively high accuracy every time, with the exception of jazz and classical music due to its unstructured and complex content. More features can be selected and used in its classification. Another possible way of classification is by using spectral plots of the features of a signal which is again obtained by processing the signal and then plotting the information received. This method is more efficient method of classification of classical music because of the distinct forms of plots generated in the processing of the signal. This approach is discussed in this scholarly work. 72 pp. Englisch.
Idioma: Inglés
Publicado por Editorial Academica Espanola, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: Majestic Books, Hounslow, Reino Unido
EUR 66,21
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Añadir al carritoCondición: New. Print on Demand pp. 72 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Idioma: Inglés
Publicado por Editorial Academica Espanola, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 68,48
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 72.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: moluna, Greven, Alemania
EUR 41,05
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nagarajan BenjaminBenjamin Nagarajan (a.k.a. Ben Rage) is a programmer, composer, author, artist and a film director who resides in Toronto. After graduating from BITS Pilani, Dubai, and completing a classical music certificate from .
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846580503 ISBN 13: 9783846580509
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,00
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The classification of music is a vital part of Music Information Retrieval. We have a number of ways to classify music based on its features either audible or extracted and viewed. We can use Low or High level characteristics to proceed with this classification. We also select the salient themes in a track to portray its content and classify it. There is a link between certain features we use for classification and determining the beat of a track. All three processes have been used with a relatively high accuracy every time, with the exception of jazz and classical music due to its unstructured and complex content. More features can be selected and used in its classification. Another possible way of classification is by using spectral plots of the features of a signal which is again obtained by processing the signal and then plotting the information received. This method is more efficient method of classification of classical music because of the distinct forms of plots generated in the processing of the signal. This approach is discussed in this scholarly work.