rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Acoustic Modeling for Emotion Recognition
  name:
    name part: Anne, Koteswara Rao.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Kuchibhotla, Swarna.
    role:
      role term: author.
  name:
    name part: Vankayalapati, Hima Deepthi.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 66 p. 24 illus., 17 illus. in color. online resource.
  abstract: This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications – gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques.
  table of contents: Introduction -- Emotion Recognition using Prosodic features -- Emotion Recognition using Spectral features -- Emotional Speech Corpora -- Classification Models -- Comparative Analysis of Classifiers in emotion recognition -- Summary and Conclusions.
  note: by Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati.
  subject:
    topic: Engineering
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Computational linguistics
  subject:
    topic: Acoustics
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Computational Linguistics
  subject:
    topic: User Interfaces and Human Computer Interaction
  subject:
    topic: Acoustics
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Electrical and Computer Engineering
  identifier: 9783319155302
  identifier: http://dx.doi.org/10.1007/978-3-319-15530-2
  record info:
    record creation date: 150314
    record change date: 20160701131136.0
    record identifier: 978-3-319-15530-2