Voice Tag Matching Engine for Low-Load Command Recognition

The patent segments continuous voice commands into independent semantic units through phonetic and morphological analysis. Instead of analyzing the entire sentence structure grammatically, the system divides the voice input into discrete units (words or phrases) that can be independently matched against predefined voice tags. This segmentation approach maintains speech understanding capability while significantly reducing computational complexity by avoiding full grammatical parsing and semantic interpretation of continuous commands.

The patent inverts the traditional approach by not requiring users to follow strict grammatical rules. Instead of analyzing whether user speech conforms to grammatical structures, the system pre-defines multiple voice tags (including terms, names, titles, codes, commands, programs, and messages) and directly matches recognized semantic units against these tags. This inversion maintains recognition accuracy by comparing against known valid inputs while greatly improving ease of operation, as users can speak naturally without worrying about grammatical correctness.

The patent integrates multiple functions into the voice recognition system, including not only command recognition but also user authority verification. The system can identify and match voice patterns against stored voiceprints of authorized users, thereby verifying user authority without requiring a separate dedicated voiceprint recognition module. This multi-functionality approach maintains reliability by ensuring only authorized users can execute certain commands while avoiding the complexity of completely separate verification systems.