Classification of Pakistani Musical Instruments Using Soft Set - Lashari, Saima Anwar;Ibrahim, Rosziati
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
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.