Description
Speech can be recognized locally with a lightweight engine suitable for commands, experiments, and embedded-style voice workflows. This is useful for accessibility prototypes, offline speech interfaces, and applications that need basic recognition without a cloud service.
It is a speech-recognition engine and toolset. Accuracy depends on acoustic models, microphone quality, language support, and environment noise; audio may contain private speech and should be handled carefully.