Machine Audition : Principles, Algorithms and Systems

Bibliographic Details
Title: Machine Audition : Principles, Algorithms and Systems
Description: 'This book covers advances in algorithmic developments, theoretical frameworks, and experimental research findings to assist professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and to learn how to build advanced human-computer interactive systems'--Provided by publisher.
Authors: Wenwu Wang
Resource Type: eBook.
Subjects: Auditory perception--Computer simulation, Signal processing, Computational auditory scene analysis
Categories: COMPUTERS / Data Science / Data Warehousing, COMPUTERS / General, COMPUTERS / Data Science / Data Analytics
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 310529
RelevancyScore: 893
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 893.305786132813
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine Audition : Principles, Algorithms and Systems
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 'This book covers advances in algorithmic developments, theoretical frameworks, and experimental research findings to assist professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and to learn how to build advanced human-computer interactive systems'--Provided by publisher.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wenwu+Wang%22">Wenwu Wang</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Auditory+perception--Computer+simulation%22">Auditory perception--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+auditory+scene+analysis%22">Computational auditory scene analysis</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Warehousing%22">COMPUTERS / Data Science / Data Warehousing</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+General%22">COMPUTERS / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=310529
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.45
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Auditory perception--Computer simulation
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Computational auditory scene analysis
        Type: general
    Titles:
      – TitleFull: Machine Audition : Principles, Algorithms and Systems
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wenwu Wang
      – PersonEntity:
          Name:
            NameFull: Wenwu Wang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2011
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781615209194
            – Type: isbn-electronic
              Value: 9781615209200
            – Type: isbn-electronic
              Value: 9781466608689
          Titles:
            – TitleFull: Machine Audition : Principles, Algorithms and Systems
              Type: main
ResultId 1