Abstract
Performance drift in microphone arrays is often caused by environmental factors such as dust, moisture, and grime accumulating over time. This spectral mismatch degrades the performance of spatial audio algorithms that rely on precise array calibration. To address this limitation, a continuous calibration method is disclosed wherein broadband earcons are opportunistically played through device speakers. Audio responses are recorded by on-device microphones during defined user scenarios. A background model is generated to filter out environmental noise and room reverberation from these recordings. Subsequently, the filtered in-field measurement is compared against a reference factory template to estimate spectral deviation. A calibration filter is then calculated and applied to correct the detected drift. High-fidelity spatial audio performance is thereby maintained without requiring manual intervention or specific user actions. In this way, the microphone calibration method is continuously and ambiently recalibrated, ensuring consistent performance despite changing operating conditions.
Publication Date
2026-01-07
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Nongpiur, Rajeev and Breithaupt, Chris, "Continuous Ambient Microphone Calibration via Opportunistic Broadband Auditory Icons", Technical Disclosure Commons, (January 07, 2026)
https://www.tdcommons.org/dpubs_series/9139