Classification of Pakistani Musical Instruments Using Soft Set (Paperback)

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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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Product Description

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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Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

United States

Release date

December 2012

Availability

Expected to ship within 10 - 15 working days

First published

December 2012

Authors

,

Dimensions

229 x 152 x 6mm (L x W x T)

Format

Paperback - Trade

Pages

104

ISBN-13

978-3-8443-3260-5

Barcode

9783844332605

Categories

LSN

3-8443-3260-X



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