Overview
The International Journal of Speech Technology is dedicated to promoting research in all aspects of speech input and output, including applications and base technology.
- Presents papers on the base technology and theory as well as the full spectrum of applications.
- Represents the only journal encompassing all aspects of the three major technologies: text-to-speech synthesis, automatic speech recognition, and stored (digitized) speech.
- A significant 92% of authors reported they would likely publish in the journal again.
- Explores technological issues of speech input or output, novel algorithms, and Natural Language Processing (NLP).
- Provides an international and local language implementation of speech synthesis and recognition, while giving consideration to under-resourced languages.
- Editor-in-Chief
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- Amy Neustein
- Submission to first decision (median)
- 891 days
- Downloads
- 103,807 (2023)
Latest articles
Journal updates
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Guest-Edited Collections Policies
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Journal information
- Electronic ISSN
- 1572-8110
- Print ISSN
- 1381-2416
- Abstracted and indexed in
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- ACM Digital Library
- ANVUR
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- ERIH PLUS
- Google Scholar
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature