St. Clair College - Windsor/South Campus

Speech Analytics for Actionable Insights: Current Status, Recommendation, and Guidance

Bikesh, Upreti, author.

Boston [Massachusetts] : Now Publishing Inc., 2020.

1 PDF (106 pages) : color illustrations.

Speech analytics utilizes speech recognition, predictive analytics, and authentication of the data streams while assessing customers' complaints in real-time. Assessment occurs through the collection and analysis of current data mixed with historical facts to determine patterns and to predict trends. In the current research, the authors have chosen to focus primarily on speech analytics, serving as an umbrella term encompassing speech analytics, audio-mining technologies. The use of speech analytics typically refers to a broader range of speech products, such as analyzing voice identification, emotion detection, and phonetics/speech analysis. Speech Analytics for Actionable Insights proceeds with the discussion of an overview of enterprise needs for speech analytics, a brief history of the speech recognition, the infrastructure of phonetic versus transcription approaches and real-time versus post-call solutions, major speech analytics vendors and their features, applications found within case studies, and recommendations and guidance. The primary goal of this monograph is to help business decision-makers educate themselves on the burgeoning field of speech analytics as well as to understand how it impacts the broader enterprise landscape. Provided by publisher.

Available

Electronic EbookElectronic Ebook

1 copy available at St. Clair College - Windsor/South Campus

LC Call No:

TJ211.49 .R63 2020eb

Dewey Class No:

629.8/924019 23

Author:

Bikesh, Upreti, author.

Title:

Speech Analytics for Actionable Insights: Current Status, Recommendation, and Guidance / J. P. Shim; Aaron M. French; Bikesh Upreti.

Physical:

1 PDF (106 pages) : color illustrations.

ContentType:

text rdacontent

MediaType:

electronic isbdmedia

CarrierType:

online resource rdacarrier

Series:

Foundations and trends in information systems, 2331-124X ; 4:2

BibliogrphyNote:

Includes bibliographical references (pages 88-106).

Summary:

Speech analytics utilizes speech recognition, predictive analytics, and authentication of the data streams while assessing customers' complaints in real-time. Assessment occurs through the collection and analysis of current data mixed with historical facts to determine patterns and to predict trends. In the current research, the authors have chosen to focus primarily on speech analytics, serving as an umbrella term encompassing speech analytics, audio-mining technologies. The use of speech analytics typically refers to a broader range of speech products, such as analyzing voice identification, emotion detection, and phonetics/speech analysis. Speech Analytics for Actionable Insights proceeds with the discussion of an overview of enterprise needs for speech analytics, a brief history of the speech recognition, the infrastructure of phonetic versus transcription approaches and real-time versus post-call solutions, major speech analytics vendors and their features, applications found within case studies, and recommendations and guidance. The primary goal of this monograph is to help business decision-makers educate themselves on the burgeoning field of speech analytics as well as to understand how it impacts the broader enterprise landscape. Provided by publisher.

AE:PersName:

Zhang, Qiaoning, author.

AE:PersName:

You, Sangseok, author.

AE:PersName:

Kim, Sangmi, author.

AE:PersName:

Bikesh, Upreti, author.

AE:PersName:

J. P. Shim, author.

AE:CorpName:

Now Publications, publisher.

AE:CorpName:

IEEE Xplore (Online Service), distributor.

Field Ind Subfield Data
001 001     3860128
005 005     20201005142754.0
006 006     m eo d
007 007     cr bn||||m|||a
008 008     200520s2020 maua ob 000 0 eng d
020 ISBN   $a ISBN  978-1-68083-697-4
    $q   online
020 ISBN   $z Canceled/invalid ISBN  9781680836622
    $q   print
035 System Ctrl No   $a System control number  (CaBNVSL)mat09062468
035 System Ctrl No   $a System control number  (IEEE)9062468
035 System Ctrl No   $a System control number  3860105
040 Cataloging Src   $a Original cataloging agency  CaBNVSL
    $b Language of cataloging  eng
    $e Description conventions  rda
    $c Transcribing agency  CaBNVSL
    $d Modifying agency  CaBNVSL
050 LC Call No $a Classification number  TJ211.49
    $b Item number  .R63 2020eb
082 Dewey Class No 04  $a Classification number  629.8/924019
    $2 Edition number  23
100 ME:PersonalName 1   $a Personal name  Bikesh, Upreti,
    $e Relator term  author.
245 Title 10  $a Title  Speech Analytics for Actionable Insights: Current Status, Recommendation, and Guidance /
    $c Statement of responsibility  J. P. Shim; Aaron M. French; Bikesh Upreti.
264 ProductnNotice $a Place of prod/dist/manuf.  Boston [Massachusetts] :
    $b Name of prod./pub./dist./man.  Now Publishing Inc.,
    $c Date of prod/dist/manuf/copyrt  2020.
264 ProductnNotice $a Place of prod/dist/manuf.  [Piscataqay, New Jersey] :
    $b Name of prod./pub./dist./man.  IEEE Xplore,
    $c Date of prod/dist/manuf/copyrt  2020
300 Physical Desc   $a Extent  1 PDF (106 pages) :
    $b Other physical details  color illustrations.
336 ContentType   $a Content type term  text
    $2 Source  rdacontent
337 MediaType   $a Media type term  electronic
    $2 Source  isbdmedia
338 CarrierType   $a Carrier type term  online resource
    $2 Source  rdacarrier
490 SeriesStatement 1   $a Series statement  Foundations and trends in information systems,
    $x ISSN  2331-124X ;
    $v Vol. no./sequential designatn  4:2
504 BibliogrphyNote   $a Bibliography, etc. note  Includes bibliographical references (pages 88-106).
505 505 0   $a 505  1. Introduction -- 2. Literature review -- 3. Thrust area. 1. Human personality and human€€“robot interaction -- 4. Thrust area 2. Robot personality and human€€“robot interaction -- 5. Thrust area 3. Robot and human personality similarities and differences -- 6. Thrust area 4. Factors impacting robot personality -- 7. Major findings and a way forward -- References.
506 506   $a 506  Restricted to subscribers or individual electronic text purchasers.
520 Summary   $a Summary, etc. note  Speech analytics utilizes speech recognition, predictive analytics, and authentication of the data streams while assessing customers' complaints in real-time. Assessment occurs through the collection and analysis of current data mixed with historical facts to determine patterns and to predict trends. In the current research, the authors have chosen to focus primarily on speech analytics, serving as an umbrella term encompassing speech analytics, audio-mining technologies. The use of speech analytics typically refers to a broader range of speech products, such as analyzing voice identification, emotion detection, and phonetics/speech analysis. Speech Analytics for Actionable Insights proceeds with the discussion of an overview of enterprise needs for speech analytics, a brief history of the speech recognition, the infrastructure of phonetic versus transcription approaches and real-time versus post-call solutions, major speech analytics vendors and their features, applications found within case studies, and recommendations and guidance. The primary goal of this monograph is to help business decision-makers educate themselves on the burgeoning field of speech analytics as well as to understand how it impacts the broader enterprise landscape.
    $c   Provided by publisher.
538 538   $a 538  Mode of access: World Wide Web.
588 588   $a 588  Description based on PDF viewed May 20, 2020.
650 Subj. $a Topical heading  Human-robot interactions.
650 Subj. $a Topical heading  Robotics.
655 655 $a 655  Electronic books.
700 AE:PersName 1   $a Personal name  Zhang, Qiaoning,
    $e Relator  author.
700 AE:PersName 1   $a Personal name  You, Sangseok,
    $e Relator  author.
700 AE:PersName 1   $a Personal name  Kim, Sangmi,
    $e Relator  author.
700 AE:PersName 1   $a Personal name  Bikesh, Upreti,
    $e Relator  author.
700 AE:PersName 1   $a Personal name  J. P. Shim,
    $e Relator  author.
710 AE:CorpName 2   $a Corporate name  Now Publications,
    $e Relator term  publisher.
710 AE:CorpName 2   $a Corporate name  IEEE Xplore (Online Service),
    $e Relator term  distributor.
830 830 $a 830  Foundations and trends in information systems ;
    $v   4:2.
    $x   2331-124X.
852 Holdings   $a Location  221
    $h Classification part  ebook
    $p Barcode  912
    $9 Cost  $0.00
856 ElectronicLocat 40  $3 Materials specified  Abstract with links to resource
    $u Uniform Resource Identifier  https://ra.ocls.ca/ra/login.aspx?inst=stclair&url=https://ieeexplore-ieee-org.eztest.ocls.ca/document/9123528

Google Books Preview

preview