Application of neural networks for fixing voice recognition mistakes for editing source code using Google Cloud Speech
The paper discusses improvement of approach to voice recognition for editing source code, using Google Cloud Speech. The improved approach combines neural networks with sound editing, editing distances, and replacement tables. The architecture for the recognition of Python language expressions is suggested. The results of the analysis of the testing approach on prototype program, that combines editing code on GitHub with Telegram, is discussed, The paper discusses advantages and disadvantages of the improved approach.