Voice Enabled Intelligent Programming Assistant

Ravindu Wataketiya, Navinda Chandrasiri, Ramesh Kithsiri, Hirush Malwatta,Madhuka Nadeeshani,Samanthi Siriwardana

2022 4th International Conference on Advancements in Computing (ICAC)(2022)

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摘要
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”.
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关键词
NLP,Voice Coding,Voice Transcription,RSI,TTS,RASA,HCI.
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