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Classification of Pakistani Musical Instruments Using Soft Set - Softcover

 
9783844332605: Classification of Pakistani Musical Instruments Using Soft Set

Synopsis

The use of classification algorithms to automatically classify musical instruments is a current and ongoing research. Musical instruments classification has many applications such as cataloging of sound samples, music transcription and annotation system. Though, audio classification comprise of interdisciplinary areas namely data mining, signal processing and musicology. Meanwhile, soft set theory has emerged as a new mathematical tool that has high potential to be applied in many directions. However, soft set for musical instrument classification has not been widely experimented although this method is very reliable in handling texture classification and for data analysis efficiently. Thus, this book provides a classification algorithm based on soft set incorporating Traditional Pakistani musical instruments and offers a new perspective for automatic musical instrument classification.

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About the Author

Saima Anwar Lashari is a PhD student at Universiti Tun Hussein Onn Malaysia (UTHM). Her research interests are in the field of signal and image processing, data mining and soft set.

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  • PublisherLAP LAMBERT Academic Publishing
  • Publication date2012
  • ISBN 10 384433260X
  • ISBN 13 9783844332605
  • BindingPaperback
  • LanguageEnglish
  • Number of pages104

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Saima Anwar Lashari|Rosziati Ibrahim
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384433260X ISBN 13: 9783844332605
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lashari Saima AnwarSaima Anwar Lashari is a PhD student at Universiti Tun Hussein Onn Malaysia (UTHM). Her research interests are in the field of signal and image processing, data mining and soft set.The use of classification alg. Seller Inventory # 5473637

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Lashari, Saima Anwar, Ibrahim, Rosziati
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384433260X ISBN 13: 9783844332605
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