Plamen A. Ivanov - Schaumburg IL, US Scott A. Mehrens - Shoreline WA, US Kevin J. Bastyr - St. Francis WI, US Joel A. Clark - Woodridge IL, US
Assignee:
MOTOROLA, INC. - Schaumburg IL
International Classification:
H04B 15/00
US Classification:
381 942
Abstract:
A method and apparatus for detecting microphone interference includes first and second built-in microphones producing first and second microphone signals. A first filter bank creates first high-frequency-band and first low-frequency-band signals from the first microphone signal. A second filter bank creates second high-frequency-band and second low-frequency-band signals from the second microphone signal. A first measurement calculator determines a high-frequency-band energy value from the first high-frequency-band signal and the second high-frequency-band signal when the first and second high-frequency-band signals' magnitudes exceeds predetermined thresholds. A second measurement calculator calculates a low-frequency-band energy value from the first low-frequency-band signal and the second low-frequency-band signal when the first and second low-frequency-band signals' magnitudes exceed predetermined thresholds. A logic control block, coupled to the first measurement calculator and the second measurement calculator, detects microphone interference and produces an output signal indicating microphone occlusion or wind noise.
Microphone Interference Detection Method And Apparatus
- Mountain View CA, US Scott A. Mehrens - Shoreline WA, US Kevin J. Bastyr - St. Francis WI, US Joel Anthony Clark - Woodridge IL, US
International Classification:
H04R 3/04 H04R 1/08
Abstract:
A method and apparatus for detecting microphone interference includes first and second built-in microphones producing first and second microphone signals. A first filter bank creates first high-frequency-band and first low frequency-band signals from the first microphone signal. A second filter bank creates second high-frequency-band and second low-frequency-hand signals from the second microphone signal. A first measurement calculator determines a high-frequency-band energy value from the first high-frequency-band signal and the second high-frequency-hand signal when the first and second high-frequency-band signals' magnitudes exceeds predetermined thresholds. A second measurement calculator calculates a low-frequency-band energy value from the first low-frequency-band signal and the second low-frequency-band signal when the first and second low-frequency-band signals' magnitudes exceed predetermined thresholds. A logic control block, coupled to the first measurement calculator and the second measurement calculator, detects microphone interference and produces an output signal indicating microphone occlusion or wind noise.
Amazon Lab126
Software Development Manager
Amazon Lab126 Nov 2017 - Apr 2018
Senior Software Development Engineer
Amazon Lab126 Oct 1, 2015 - Oct 2017
Software Development Engineer
Knowles Intelligent Audio Jul 2014 - Oct 2015
Manager
Knowles Intelligent Audio Feb 2014 - Jul 2014
Staff Dsp Software Engineer
Education:
University of Iowa
Bachelor of Science In Engineering, Bachelors, Electrical Engineering
Skills:
Digital Signal Processors Debugging Embedded Systems Embedded Software C Firmware Testing Algorithms Android Rtos Gsm Mobile Devices Acoustics Software Engineering Digital Audio Assembly Language Python Symbian Psychoacoustics Digital Filters Matlab
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