Collaborate with MindInventory
The MindInventory team began the work with extensive research. They looked for required technologies, libraries, features, and technical specifications. Based on the research findings, the team analyzed important aspects and formulated strategies while prioritizing usability, accessibility, and scalability.
In C language, there are several libraries available for implementing text-to-speech and speech-to-text functionality in your applications. Our developers outlined the most useful ones and tested libraries to find the perfect fit. They selected PocketSphinx, which is used to recognize continuous speech in various languages and dialects. It supports both isolated word recognition and large vocabulary continuous speech recognition (LVCSR).
Our team implemented the PocketSphinx Library using the pocket manager on Linux distributions. They initialized the desired configuration and continued the rest process. They adjusted the configuration parameters and file paths according to your specific setup and language model.
To run the Codedog in MacOs, we installed software and dependency in Linux and Windows, implemented software, and used plugins to run the setup in MacOs.
