This invention describes a system for understanding voice commands in a room where multiple people might be talking and various media (like TV or music) are playing. It works by placing microphones in different zones, then cleaning up the sound from each zone by removing echoes from speakers and filtering out sounds from other zones. Finally, it performs speech recognition on these cleaned signals to understand what is being said in the active zone.
Why it matters: Filed before the widespread integration of large language models and advanced deep learning into speech recognition. These advancements have significantly improved robustness in adverse environments and semantic understanding, making the core challenges more tractable.
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