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Dikun, Sergej (2021) emCounter: Final Technical Report. Undergraduate thesis, Dublin, National College of Ireland.
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Abstract
In this research I have taken the existing APIs (of those available to public) and converted pre recorder volunteer speech to text, once this was done I have performed the speech analysis with the aid of Tableau visualisation. There is great potential in this research and while I’ve got a negative answer this time, I believe that further development of existing APIs (or development of a brand new – more precise API) would allow us to release such application and get all the advantage of its analysis.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | P Language and Literature > PE English Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science |
| Divisions: | School of Computing > Bachelor of Science (Honours) in Computing |
| Depositing User: | Clara Chan |
| Date Deposited: | 21 Sep 2021 14:34 |
| Last Modified: | 21 Sep 2021 14:34 |
| URI: | https://norma.ncirl.ie/id/eprint/5069 |
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