Abstract
Meeting rooms are important for team collaboration and tend to have a high occupancy rate. It is important to detect and repair malfunction of meeting room hardware that is used to conduct video conferences. This disclosure describes audio selftest techniques that can automatically detect faults and enable preemptively fixing the detected faults to ensure that each meeting room meets a minimum set of quality standards. The audio selftest includes playing back sounds through in-room speakers and detecting the sounds via in-room microphones. Common problems such as disconnected or broken speakers/ microphones, swapped microphones or microphone arrays, miswired microphones, etc. can be diagnosed. Further, interference in the room can be detected and rooms can be classified as suitable or unsuitable for meetings based on ambient noise detected in a silent room by classifying the detected signal. Such automated diagnosis can enable frequent testing of meeting room hardware, provide early detection of malfunctioning equipment, and enable faster repair.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Audio Selftest For Automated Fault Detection In Meeting Room Hardware", Technical Disclosure Commons, (October 16, 2020)
https://www.tdcommons.org/dpubs_series/3682