The International Journal of Speech Technology focuses on speech technology and its applications. It promotes research into all aspects of speech input and output, including theory, experiment, testing, base technology, and applications.

This is the only journal presenting papers on the base technology and theory as well as the full spectrum of applications. It fully encompasses the three major technologies: text-to-speech synthesis, automatic speech recognition, and stored (digitized) speech.

A partial list of topics includes applications employing digitized speech, synthesized speech, or automatic speech recognition; technological issues of speech input or output; international and local language implementations of speech synthesis and recognition; new algorithms; interface description techniques, tools, and languages; testing of intelligibility, naturalness, and accuracy; and computational issues in speech technology.

  • Promotes research into all aspects of speech input and output, including theory, experiment, testing, base technology, and applications
  • Represents the only journal presenting papers on the base technology and theory as well as the full spectrum of applications
  • Encompasses all aspect of the three major technologies: text-to-speech synthesis, automatic speech recognition, and stored (digitized) speech
  • 92% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Journal information

Editor-in-Chief
  • Amy Neustein
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

106 days
Submission to first decision
218 days
Submission to acceptance
43,788 (2020)
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Latest issue

Volume 24

Issue 2, June 2021

Special Section on Advances in Speech Recognition using Machine Learning Paradigm. Part 3. (Articles 1-10)

Latest articles

This journal has 18 open access articles

Journal updates

  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1572-8110
Print ISSN
1381-2416
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. BFI List
  4. CNKI
  5. DBLP
  6. Dimensions
  7. EBSCO Communication
  8. EBSCO Communication & Mass Media Complete
  9. EBSCO Discovery Service
  10. EBSCO Linguistics Abstracts Online
  11. EI Compendex
  12. ERIH PLUS
  13. Emerging Sources Citation Index
  14. Google Scholar
  15. INSPEC
  16. Japanese Science and Technology Agency (JST)
  17. Naver
  18. Norwegian Register for Scientific Journals and Series
  19. OCLC WorldCat Discovery Service
  20. ProQuest Advanced Technologies & Aerospace Database
  21. ProQuest Central
  22. ProQuest Linguistics and Language Behavior Abstracts (LLBA)
  23. ProQuest SciTech Premium Collection
  24. ProQuest Social Science Collection
  25. ProQuest Technology Collection
  26. ProQuest-ExLibris Primo
  27. ProQuest-ExLibris Summon
  28. SCImago
  29. SCOPUS
  30. TD Net Discovery Service
  31. UGC-CARE List (India)
  32. WTI Frankfurt eG
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