<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd">
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>ijesm</PublisherName>
      <JournalTitle>International Journal of Engineering, Science and</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 6, Issue 8,</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>December 2017 (Special Issue)</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2017</Year>
        <Month>12</Month>
        <Day>29</Day>
      </PubDate>
      <ArticleType>Engineering, Science and Mathematics</ArticleType>
      <ArticleTitle>Separation of Indian classical seven tune signal from musical instrumental mixed signal using PCA/ICA based Fast-ICA method</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>1301</FirstPage>
      <LastPage>1307</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Satyasis Mishra? Ashok Mishra?? Tadesse Hailu</FirstName>
          <LastName>Ayane???</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>Suppression of voice or instrumental from musical composed signal is very useful in many applications to understand the real frequency range of individual sigal, such as lyrics recognition modification of amplitude, and music information retrieval. Audio source separation problems can be identified successfully by using Independent Component Analysis. In this paper, we examine the source separation problem using the general framework of Principal Component Analysis (PCA)/Independent Component Analysis (ICA) based Fast-ICA. For the greatest part of the analysis, the sinusoidal signal is taken as reference signal and added with different harmonics to generate the classical Indian music seven tune such as SA-RE-GA-MA-PA-DHA-NI-SA. Firstly, we explore the generation of music scene of classical music tune which is modeled as instantaneous mixtures of the auditory objects, to establish the basic tools for the analysis of the research work. Secondly the case of real instrument recording has been modeled as mixtures of the audit objects such as bass, drum and guitar. The signal is sampled at a frequency of 44100Hz as per the compact disc quality. Then the signal has been passed through the low filter to have desired frequency analysis. A novel PCA-ICA based Fast-ICA framework is introduced to separate the classical signal from the signal mixture. Quantitative result shows the system performance and the source separation task successfully.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>ICA-PCA; Music Signal Separation; Blind source separation; Speech signal; Fast-ICA.</Keywords>
      <URLs>
        <Abstract>https://ijesm.co.in/ubijournal-v1copy/journals/abstract.php?article_id=4558&amp;title=Separation of Indian classical seven tune signal from musical instrumental mixed signal using PCA/ICA based Fast-ICA method</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
  </Article>
</ArticleSet>