In the era of AI voice assistants, most systems rely heavily on the cloud for speech recognition, raising concerns about data privacy, security, and the need for constant internet connectivity. To address these challenges, AI-driven offline voice assistants are used. Such offline voice assistants are especially crucial in automotive systems, where reliable voice control over in-car functions must remain available even in areas with poor cellular coverage.
In this article, we will discuss a challenge we faced while implementing natural language commands and the solution we adopted to overcome it.