Tamil Talk: What you speak is what you get!

Ogunshile, Emmanuel; Ramachandran, Raj

Abstract

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.

Citation

Ogunshile, E., & Ramachandran, R. (2019, October). Tamil Talk: What you speak is what you get!. Paper presented at CONISOFT 2019 : IEEE 7th International Conference on Software Engineering Research and Innovation, Mexico City

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: CONISOFT 2019 : IEEE 7th International Conference on Software Engineering Research and Innovation
• Conference Location: Mexico City
• 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