SPEECH COMMUNICATION - Journal - Bridge of Knowledge

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SPEECH COMMUNICATION

ISSN:

0167-6393

eISSN:

1872-7182

Disciplines
(Field of Science):

  • linguistics (Humanities)
  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • information and communication technology (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
  • health sciences (Medical and Health Sciences )
  • family studies (Family studies)
  • social communication and media studies (Social studies)
  • sociology (Social studies)
  • educational sciences (Social studies)
  • international relations (Social studies)
  • computer and information sciences (Natural sciences)
  • biological sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 140 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 140 Ministry scored journals list 2024
2023 140 Ministry Scored Journals List
2022 140 Ministry Scored Journals List 2019-2022
2021 140 Ministry Scored Journals List 2019-2022
2020 140 Ministry Scored Journals List 2019-2022
2019 140 Ministry Scored Journals List 2019-2022
2018 35 A
2017 35 A
2016 25 A
2015 35 A
2014 30 A
2013 30 A
2012 25 A
2011 25 A
2010 32 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 6.8
Points CiteScore - previous years
Year Points
2023 6.8
2022 6.2
2021 5.5
2020 4.8
2019 4.2
2018 4.1
2017 4.8
2016 4.3
2015 4.1
2014 4.8
2013 5.2
2012 4.7
2011 3.7

Impact Factor:

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Sherpa Romeo:

https://v2.sherpa.ac.uk/id/publication/11461

Papers published in journal

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Catalog Journals

Year 2022
  • Computer-assisted pronunciation training—Speech synthesis is almost all you need
    Publication

    - SPEECH COMMUNICATION - Year 2022

    The research community has long studied computer-assisted pronunciation training (CAPT) methods in non-native speech. Researchers focused on studying various model architectures, such as Bayesian networks and deep learning methods, as well as on the analysis of different representations of the speech signal. Despite significant progress in recent years, existing CAPT methods are not able to detect pronunciation errors with high...

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