Couverture de Separation and Classification of Different Musical Instruments Sound
Titre du livre:

Separation and Classification of Different Musical Instruments Sound

Using Degenerate Blind Source Separation and Fuzzy Classifier

LAP LAMBERT Academic Publishing (29-06-2015 )

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ISBN-13:

978-3-659-74563-8

ISBN-10:
3659745634
EAN:
9783659745638
Langue du livre:
Anglais
texte du rabat:
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.
Maison d'édition:
LAP LAMBERT Academic Publishing
Site Web:
https://www.lap-publishing.com/
de (auteur) :
Silk Smita, Sandeep Singh Solanki
Numéro de pages:
128
Publié le:
29-06-2015
Stock:
Disponible
Catégorie:
Électronique, Electrotechnique, Technologie des communications
Prix:
39.90 €
Mots-clés:
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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