Bookcover of Separation and Classification of Different Musical Instruments Sound
Booktitle:

Separation and Classification of Different Musical Instruments Sound

Using Degenerate Blind Source Separation and Fuzzy Classifier

LAP LAMBERT Academic Publishing (2015-06-29 )

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ISBN-13:

978-3-659-74563-8

ISBN-10:
3659745634
EAN:
9783659745638
Book language:
English
Blurb/Shorttext:
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.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Silk Smita, Sandeep Singh Solanki
Number of pages:
128
Published on:
2015-06-29
Stock:
Available
Category:
Electronics, electro-technology, communications technology
Price:
39.90 €
Keywords:
Blind Source Separation, fuzzy logic, MFCC, Multilayer Perceptron, Spectral Features, musical instruments, instrument separation, instrument classification, Degenerate Blind source separation, Temporal features, Cepstral features, Self organising map, Instrument family

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