View in EDS PDF Full Text

Overview of Speech Based Gender Identification

Saved in:
Bibliographic Details
Title: Overview of Speech Based Gender Identification
Description: This book focuses on the basics of natural language processing and machine learning required to make a standard speech- based gender identification system. In this book all the required signal processing techniques required for understanding the basics of natural language processing including all types of Fourier transform, basic speech enhancement techniques, voice activity detection and pitch estimation using sub harmonic-to-harmonic ratio are briefly explained as well. In the machine learning part, all the relevant machine learning models like Support Vector Machines, Gaussian Mixture Models and Adaptive boosting are explained. Lastly the results of different gender identification systems that were implemented using state of the art techniques are portrait and analysed.
Authors: Sheikh, Hassam
Resource Type: eBook.
Subjects: Signal processing--Digital techniques, Automatic speech recognition, Gender identity, Natural language processing (Computer science)
Categories: COMPUTERS / General, COMPUTERS / Artificial Intelligence / Natural Language Processing
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1006935
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1063.91076660156
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$1006935$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$1006935$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Overview of Speech Based Gender Identification
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This book focuses on the basics of natural language processing and machine learning required to make a standard speech- based gender identification system. In this book all the required signal processing techniques required for understanding the basics of natural language processing including all types of Fourier transform, basic speech enhancement techniques, voice activity detection and pitch estimation using sub harmonic-to-harmonic ratio are briefly explained as well. In the machine learning part, all the relevant machine learning models like Support Vector Machines, Gaussian Mixture Models and Adaptive boosting are explained. Lastly the results of different gender identification systems that were implemented using state of the art techniques are portrait and analysed.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sheikh%2C+Hassam%22">Sheikh, Hassam</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Signal+processing--Digital+techniques%22">Signal processing--Digital techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+speech+recognition%22">Automatic speech recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+identity%22">Gender identity</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing+%28Computer+science%29%22">Natural language processing (Computer science)</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+General%22">COMPUTERS / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+Natural+Language+Processing%22">COMPUTERS / Artificial Intelligence / Natural Language Processing</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1006935
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 006.454
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Signal processing--Digital techniques
        Type: general
      – SubjectFull: Automatic speech recognition
        Type: general
      – SubjectFull: Gender identity
        Type: general
      – SubjectFull: Natural language processing (Computer science)
        Type: general
    Titles:
      – TitleFull: Overview of Speech Based Gender Identification
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sheikh, Hassam
      – PersonEntity:
          Name:
            NameFull: Sheikh, Hassam
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
            – D: 30
              M: 06
              Type: profile
              Y: 2015
          Identifiers:
            – Type: isbn-print
              Value: 9783954892280
            – Type: isbn-electronic
              Value: 9783954897285
          Titles:
            – TitleFull: Overview of Speech Based Gender Identification
              Type: main
ResultId 1