Kardome

Put the system in a moving car and it will focus on the driver or a chosen seat, even with road noise, music, and passengers talking. During setup, map the microphone array and seating positions, then route the cleaned voice stream to your ASR. Climate changes, navigation requests, and media controls trigger on the first try because the engine isolates the command source by direction and suppresses echoes from the cabin. Wake-ups stay steady at highway speed, and voice replies remain clear without blasting the speakers. In the living room, a soundbar or smart speaker can listen for commands while the TV is playing. The audio front end pulls speech from the person closest to the device and reduces interference from the show, appliances, or other talkers across the room. Volume nudges, input switching, and content search work without false starts, and the device doesn’t need to raise sensitivity to catch every word. At a kiosk in a noisy concourse, define a speaking zone in front of the screen. Only the person inside that zone is captured, while side chatter and reverberation are filtered out. A brand-specific wake phrase can launch the session, and speaker verification can attach preferences to the right account. Because processing can run on the device or edge gateway, responses arrive fast and continue to work when the network is spotty. For OEM integration, drop the SDK ahead of your recognition engine, provide array geometry, pick a profile for the target environment, and tune thresholds for far-field, near-field, or seat-based focus. Teams typically run A/B tests to measure word error rate, false accept/false reject, and wake-word stability. Results show quicker round trips, fewer misfires, and predictable behavior across cars, consumer gear, and public terminals—without sending raw audio to the cloud.