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க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text

Ogunshile, Emmanuel; Ramachandran, Raj

Authors



Abstract

This paper attempts to develop an application that converts Tamil language speech to Tamil text, with
a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application
converts spoken Tamil to text without auto-correction, code-mixing or code-switching. Tamil is a syllabic
language, similar to other Indian languages and some unique features such as instances of allophones, short &
long vowels and lack of aspirated stops produces some challenges in developing a speech to text app. This project
is a technology demonstration of 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 speakers.
A report by the Business Standard India e-publication in the year 2019 highlighted the decline in the usage of the
Tamil language, and indeed separate reports in Singapore and Malaysia, which both have large numbers of Tamil
speakers indicate that there have been concerns about the relevance and usage of the Tamil language as a spoken
means of communication among the community. The research maintains that it is important to maintain the
utilization of Tamil language via technology to help preservation of one of the oldest surviving languages in the
world. The work further emphasizes on the indigenous design considerations for such applications which may be
different to traditional software engineering approaches.

Citation

Ogunshile, E., & Ramachandran, R. (in press). க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text

Conference Name CONISOFT 2020 : IEEE 8th International Conference on Software Engineering Research and Innovation
Start Date Nov 4, 2020
End Date Nov 6, 2020
Acceptance Date Jul 10, 2020
Deposit Date Jul 15, 2020
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Keywords Automatic speech recognition (ASR), Analog-to-digital converter (ADC), Application Programing Interface (API) Tamil, Speech to Text, web application, Software Engineering design
Public URL https://uwe-repository.worktribe.com/output/6250470
Publisher URL http://conisoft.org/2020/

This file is under embargo due to copyright reasons.

Contact Emmanuel.Ogunshile@uwe.ac.uk to request a copy for personal use.






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