<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <nonSort>An </nonSort>
    <title>introduction to audio content analysis</title>
    <subTitle>music information retrieval tasks &amp; applications</subTitle>
  </titleInfo>
  <titleInfo type="alternative">
    <title>An introduction to audio content analysis</title>
    <subTitle>music information retrieval tasks and applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Lerch, Alexander</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <dateIssued encoding="marc">2023</dateIssued>
    <edition>Second edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxix, 434 pages : illustrations ; 24 cm.</extent>
  </physicalDescription>
  <abstract>"This book explores algorithms that extract the relevant content information from a digital audio signal and interpret the extracted information for applications such as music recommendation, music tutoring, or music generation. This second edition covers an even broader range of tasks aimed at extracting all forms of musical content from the audio. After a general introduction in the process and goals of audio content analysis, the text focuses on tasks that can be grouped into a content category: tonal analysis, intensity analysis, and temporal analysis. The following chapters often span multiple of these categories and cover the alignment of two audio sequences, the classification of musical genre, mood, and instruments, the computation of music similarity, and the assessment of music performance"--</abstract>
  <tableOfContents>Introduction -- Part I. Fundamentals of audio content analysis -- Analysis of audio signals -- Input representation -- Inference -- Data -- Evaluation -- Part II. Music transcription -- Tonal analysis -- Intensity -- Temporal analysis -- Alignment -- Part III. Music identification, classification, and assessment -- Audio fingerprinting -- Music similarity detection and music genre classification -- Mood recognition -- Musical instrument recognition -- Music performance assessment -- Part IV. Appendices -- Appendix A. Fundamentals -- Appendix B. Fourier transform -- Appendix C. Principal component analysis -- Appendix D. Linear regression -- Appendix E. Software for audio analysis -- Appendix F. Datasets.</tableOfContents>
  <note type="statement of responsibility">Alexander Lerch.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Computer sound processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computational auditory scene analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Content analysis (Communication)</topic>
    <topic>Data processing</topic>
  </subject>
  <classification authority="lcc">TK7881.4 .L486 2023</classification>
  <classification authority="ddc" edition="23">006.45 L561i</classification>
  <relatedItem type="otherFormat" displayLabel="Online version:">
    <titleInfo>
      <title>Introduction to audio content analysis</title>
    </titleInfo>
    <name>
      <namePart>Lerch, Alexander.</namePart>
    </name>
    <originInfo>
      <publisher>Hoboken, New Jersey : Wiley-IEEE Press, [2023]</publisher>
      <edition>Second edition</edition>
    </originInfo>
    <identifier type="local">(DLC) 2022046788</identifier>
  </relatedItem>
  <identifier type="isbn">9781119890942</identifier>
  <identifier type="lccn">2022046787</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">MdU/DLC</recordContentSource>
    <recordCreationDate encoding="marc">220928</recordCreationDate>
    <recordChangeDate encoding="iso8601">20250312133810.0</recordChangeDate>
    <recordIdentifier source="CSPC">22806326</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
