Separation and Classification of Different Musical Instruments Sound: Using Degenerate Blind Source Separation and Fuzzy Classifier - Brossura
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Musical instrument separation uses a source separation approach that aims to separate the individual source instruments from a mixture of sound signal i.e song. This work uses mixtures of two instruments guitar and flute, having same pitch at the same time. In this work, the degenerate blind source separation(DBSS) is modified and it is used for machine learning problem. This approach is applied to separate the instrument sounds. Further on the musical instrument sounds i.e separated signals are classified individually with Fuzzy approach. Temporal, spectral and cepstral features are extracted for instrument classification out of detected monophonic musical signals. Here, supervised fuzzy classification is used for instrument classification. The book is of interest for music and speech signal researchers.
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Separation and Classification of Different Musical Instruments Sound
Editore:
LAP LAMBERT Academic Publishing Jun 2015, 2015
ISBN 10: 3659745634
ISBN 13: 9783659745638
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Musical instrument separation uses a source separation approach that aims to separate the individual source instruments from a mixture of sound signal i.e song. This work uses mixtures of two instruments guitar and flute, having same pitch at the same time. In this work, the degenerate blind source separation(DBSS) is modified and it is used for machine learning problem. This approach is applied to separate the instrument sounds. Further on the musical instrument sounds i.e separated signals are classified individually with Fuzzy approach. Temporal, spectral and cepstral features are extracted for instrument classification out of detected monophonic musical signals. Here, supervised fuzzy classification is used for instrument classification. The book is of interest for music and speech signal researchers. 128 pp. Englisch. Codice articolo 9783659745638
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Separation and Classification of Different Musical Instruments Sound
Editore:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659745634
ISBN 13: 9783659745638
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Brossura
Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Smita SilkSilk Smita,has Post Graduated from Birla Institute of Technology,Mesra,India in 2015.Her field of interest is Signal Processing,Classical Music, Instrumentation and Control.Sandeep Singh Solanki,Associate professor,Birla In. Codice articolo 158123691
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Separation and Classification of Different Musical Instruments Sound
Editore:
LAP LAMBERT Academic Publishing Jun 2015, 2015
ISBN 10: 3659745634
ISBN 13: 9783659745638
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Musical instrument separation uses a source separation approach that aims to separate the individual source instruments from a mixture of sound signal i.e song. This work uses mixtures of two instruments guitar and flute, having same pitch at the same time. In this work, the degenerate blind source separation(DBSS) is modified and it is used for machine learning problem. This approach is applied to separate the instrument sounds. Further on the musical instrument sounds i.e separated signals are classified individually with Fuzzy approach. Temporal, spectral and cepstral features are extracted for instrument classification out of detected monophonic musical signals. Here, supervised fuzzy classification is used for instrument classification. The book is of interest for music and speech signal researchers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. Codice articolo 9783659745638
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Separation and Classification of Different Musical Instruments Sound : Using Degenerate Blind Source Separation and Fuzzy Classifier
Editore:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659745634
ISBN 13: 9783659745638
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Musical instrument separation uses a source separation approach that aims to separate the individual source instruments from a mixture of sound signal i.e song. This work uses mixtures of two instruments guitar and flute, having same pitch at the same time. In this work, the degenerate blind source separation(DBSS) is modified and it is used for machine learning problem. This approach is applied to separate the instrument sounds. Further on the musical instrument sounds i.e separated signals are classified individually with Fuzzy approach. Temporal, spectral and cepstral features are extracted for instrument classification out of detected monophonic musical signals. Here, supervised fuzzy classification is used for instrument classification. The book is of interest for music and speech signal researchers. Codice articolo 9783659745638
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Da: Germania a: U.S.A.
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