Copertina di Separation and Classification of Different Musical Instruments Sound
Titolo del libro:

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
Lingua del libro:
Inglese
Risvolto di copertina:
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.
Casa editrice:
LAP LAMBERT Academic Publishing
Sito Web:
https://www.lap-publishing.com/
Da (autore):
Silk Smita, Sandeep Singh Solanki
Numero di pagine:
128
Pubblicato il:
29.06.2015
Giacenza di magazzino:
Disponibile
categoria:
Elettronica, Elettrotecnica, tecnologia dell'informazione e della comunicazione
Prezzo:
39,90 €
Parole chiave:
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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