Separation and Classification of Different Musical Instruments Sound | Using Degenerate Blind Source Separation and Fuzzy Classifier

Silk Smita (u. a.)

ISBN 10: 3659745634 / ISBN 13: 9783659745638

Published by LAP LAMBERT Academic Publishing, 2015

About this Item

Separation and Classification of Different Musical Instruments Sound | Using Degenerate Blind Source Separation and Fuzzy Classifier | Silk Smita (u. a.) | Taschenbuch | 128 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659745638 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 104540827

Bibliographic Details

• Title: Separation and Classification of Different Musical Instruments Sound | Using Degenerate Blind Source Separation and Fuzzy Classifier
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3659745634
• ISBN 13: 9783659745638
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 209 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.