Dr Emmanuel Ogunshile Emmanuel.Ogunshile@uwe.ac.uk
Programme Leader for BSc(Hons) Data Science & PhD Director of Studies
Preserving linguistic heritage for generations to come!
Ogunshile, Emmanuel; Ramachandran, Raj
Authors
Raj Ramachandran Subramanian Raj.Ramachandran@uwe.ac.uk
Lecturer in Computer Science
Abstract
Speech to Text is the ability to convert spoken word to text. There are many speech to text con-version applications available for different languages. Tamil is an ancient classical language which is vastly spoken in southern parts of India, Sri Lanka, Malaysia, and Singapore. The speech to text application is designed from an indigenous perspective to enable the native speakers to pre-serve their linguistic heritage. The application was developed using agile methodology and the testing of the application suggested that the existing API do not support in the notion of preserv-ing the language in its original form.
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | DiPP 2020 : Digital Presentation and Preservation of Cultural and Scientific Heritage |
Start Date | Sep 24, 2020 |
End Date | Sep 26, 2020 |
Deposit Date | Jul 15, 2020 |
Series ISSN | 1314-4006 |
Keywords | Linguistic heritage, Tamil, speech to text, indigenous method, Software Engineering |
Public URL | https://uwe-repository.worktribe.com/output/6250414 |
Publisher URL | https://dipp.math.bas.bg/8-archives/20-archives-2020 |
Related Public URLs | http://dipp2020.math.bas.bg/ |
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