Dr Emmanuel Ogunshile Emmanuel.Ogunshile@uwe.ac.uk
Senior Lecturer in Computer Science
Dr Emmanuel Ogunshile Emmanuel.Ogunshile@uwe.ac.uk
Senior Lecturer in Computer Science
Raj Ramachandran Subramanian Raj.Ramachandran@uwe.ac.uk
Lecturer in Computer Science
Dr Emmanuel Ogunshile Emmanuel.Ogunshile@uwe.ac.uk
Work Package Leader
Raj Ramachandran Subramanian Raj.Ramachandran@uwe.ac.uk
Supervisor
David Mann
Researcher
Kim Frederic
Researcher
Naomi Weston
Researcher
Tamil is one of the longest surviving classical languages in the world. Speech to text in Tamil would benefit to
a lot of native Tamil speakers throughout the world. There are many speech recognition and speech to text applications
available for a wide variety of languages but many minority languages, such as Tamil are overlooked. In this paper, we
propose to develop a system for Tamil speech to text that will be consitent with the pronunciation of the user and conforms wih the syntax of the language.
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | CONISOFT 2019 : IEEE 7th International Conference on Software Engineering Research and Innovation |
Start Date | Oct 23, 2019 |
End Date | Oct 25, 2019 |
Deposit Date | Aug 23, 2019 |
Publicly Available Date | Aug 30, 2019 |
Keywords | Speech to text, Application, Agile, Tamil Language, Tamil Orthography, Speech Recognition, ASR |
Public URL | https://uwe-repository.worktribe.com/output/2419491 |
Publisher URL | http://conisoft.org/2019 |
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