Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3351
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wataketiya, R | - |
dc.contributor.author | Chandrasiri, N | - |
dc.contributor.author | Kithsiri, R | - |
dc.contributor.author | Malwatta, H | - |
dc.contributor.author | Nadeeshani, M | - |
dc.contributor.author | Siriwardana, S | - |
dc.date.accessioned | 2023-03-09T07:00:17Z | - |
dc.date.available | 2023-03-09T07:00:17Z | - |
dc.date.issued | 2022-12-09 | - |
dc.identifier.citation | R. Wataketiya, N. Chandrasiri, R. Kithsiri, H. Malwatta, M. Nadeeshani and S. Siriwardana, "Voice Enabled Intelligent Programming Assistant," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 96-101, doi: 10.1109/ICAC57685.2022.10025171. | en_US |
dc.identifier.isbn | 979-8-3503-9809-0 | - |
dc.identifier.uri | https://rda.sliit.lk/handle/123456789/3351 | - |
dc.description.abstract | In modern era where software development is of vital importance, software developers are challenged with conditions like Repetitive Strain Injury (RSI) which hinders their ability to work effectively. Furthermore, people with difficulties with using their hands also find it challenging to program in the traditional manner. As a solution, coding with one’s voice has been experimented with, but current solutions lack interactivity and are harder to use and setup leaving much room for improvement in this domain. In this research work, by using input classifier models with accuracies over 90%, intent classifiers with accuracies over 70%, code parsing and various human computer interaction techniques, we developed a conversationally interactive, programming language agnostic, easy to setup and easy to use Voice Coding Assistant. This will potentially help a global audience of programmers to achieve their goals and improve productivity and lead a healthier life. We have named the system thus developed, “Venic”. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 2022 4th International Conference on Advancements in Computing (ICAC); | - |
dc.subject | Voice Enabled | en_US |
dc.subject | Intelligent Programming | en_US |
dc.subject | Assistant | en_US |
dc.title | Voice Enabled Intelligent Programming Assistant | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICAC57685.2022.10025171 | en_US |
Appears in Collections: | 4th International Conference on Advancements in Computing (ICAC) | 2022 Department of Information Technology Research Papers - Dept of Computer Science and Software Engineering Research Papers - IEEE Research Papers - SLIIT Staff Publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Voice_Enabled_Intelligent_Programming_Assistant.pdf Until 2050-12-31 | 611.73 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.