International Journal of Speech Technology (IJST)

Publisher : Springer Nature

base technology Natural Language Processing (NLP) text-to-speech synthesis

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e-ISSN 1572-8110

p-ISSN 1381-2416

Issue Frequency Triennially

Est. Year 1995

Mobile 31786576000

DOI YES

Country Netherlands The

Language English

APC YES

Impact Factor Assignee Google Scholar

Email customerservice@springernature.com

Journal Descriptions

The International Journal of Speech Technology is dedicated to promoting research in all aspects of speech input and output, including applications and base technology. The International Journal of Speech Technology is a research journal that focuses on speech technology and its applications. It promotes research and description on all aspects of speech input and output, including theory, experiment, testing, base technology, applications. The journal is an international forum for the dissemination of research related to the applications of speech technology as well as to the technology itself as it relates to real-world applications. Articles describing original work in all aspects of speech technology are included. Sample topics include but are not limited to the following: applications employing digitized speech, synthesized speech or automatic speech recognition 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.

International Journal of Speech Technology (IJST) is :-

International, Peer-Reviewed, Open Access, Refereed, base technology, Natural Language Processing (NLP), text-to-speech synthesis, automatic speech recognition, human factors, intelligent interfaces, robust applications, testing of intelligibility, naturalness and accuracy, speech-enabled robotics, software development tools , Online or Print , Triennially Journal
UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1381-2416, E-ISSN: 1572-8110, Established: 1995,
Provides Crossref DOI
Indexed in: Scopus, PubMed
Not indexed in WoS, DOAJ, UGC CARE