Voice recognition
The business goal
Our client is an entrepreneur with Electrical Engineering experience. His goal was to create an ebook reader that could be used by elderly people without too much effort. Users can use/control these readers by voice. The most important feature of the system is voice recognition that is used for handling ebooks, executing commands, navigating libraries and searching books. Bringing his hardware expertise, he needed an expertise in software development and Data Science research.
From the beginning, there were two main directions for the project. The first was to add online voice recognition due to the rising interest in that field and ability to connect to high-speed networks. The second was to improve offline recognition.
Technical side
For the first part we researched and tried commercially available solutions from Google, Microsoft and other providers. The second part had to do with using PocketSphinx library. It was used as a grammar based engine with strict rules and good quality of voice recognition in different situations (accent, noise, low volume and so on). Calibre for its part is used for ebook management.
On the technical side we used C-based Calibre software and PocketSphinx library. We also integrated Python-based APIs from online recognition services.
Result
As a result we delivered a Proof-of-Concept system that could be readily used on an ebook device.
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