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Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing

Phung, Khoa; Ramachandran, Raj; Ogunshile, E.

Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing Thumbnail


Authors

Khoa Phung

Profile image of Emmanuel Ogunshile

Dr Emmanuel Ogunshile Emmanuel.Ogunshile@uwe.ac.uk
Programme Leader for BSc(Hons) Data Science & PhD Director of Studies



Abstract

This paper attempts to develop an application that converts Tamil and Vietnamese speech to text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil and Vietnamese to text without auto-correction, code-mixing or code-switching. This paper proposed a complete web application, which, when perfected, could be used to act as a teaching tool to encourage correct pronunciation of syllables and words for native and non-native Tamil and Vietnamese speakers. The paper further explores similarities and differences in the two contexts.

Journal Article Type Article
Acceptance Date Aug 12, 2021
Online Publication Date Dec 28, 2021
Publication Date 2021-12
Deposit Date Aug 12, 2021
Publicly Available Date Dec 29, 2022
Journal Programming and Computer Software
Print ISSN 0361-7688
Electronic ISSN 1608-3261
Publisher MAIK Nauka/Interperiodica
Peer Reviewed Peer Reviewed
Volume 47
Issue 8
Pages 757-764
DOI https://doi.org/10.1134/S036176882108020X
Public URL https://uwe-repository.worktribe.com/output/7618276

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Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code- switching and code-mixing (583 Kb)
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Copyright Statement
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1134/S036176882108020X








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