Hewlett-packard Development Company, L.p.

Srikanth Kuthuru

Sunil Bharitkar

Madhu Sudan Athreya

Mithra Vankipuram

M Anthony Lewis

Manu Rastogi

Amalendu Iyer

In example implementations, an apparatus is provided. The apparatus includes a plurality of microphones to record background sounds, a noise cancellation component to generate an inverted signal to negate the background sounds from an output signal, a memory to store sound patterns associated with known events, a speaker to output the output signal, and a processor. The processor is to compare a background sound of the background sounds to sound patterns stored in the memory, detect an event when the background sound matches a sound pattern and is coming from behind a user, and execute a corrective action to the output signal in response to the event being detected and the background sound coming from behind the user.

Event detections for noise cancelling headphones

In example implementations, an apparatus is provided. The apparatus includes an adaptive filter and a double talk detector in communication with the adaptive filter. The adaptive filter is to calculate a transfer function with coefficients for a particular time that is applied to an output signal of a microphone to cancel echoes caused by a reference signal in the output signal of the microphone. The double talk detector is to determine a peak of the coefficients, detect double talk based on a location of the peak of the coefficients, and transmit a pause signal to the adaptive filter in response to detection of the double talk, wherein the pause signal is to pause a calculation of updates to the coefficients by the adaptive filter.

Double talk detectors

Examples for global motion suppression in an event-driven camera are described herein. In some examples, global motion of an event-driven camera is detected based on a plurality of pixels of an event-driven image sensor detecting events. The global motion may be suppressed by event-driven image sensor circuitry in response to detecting the global motion.

Global motion suppression in an event-driven camera

Acoustic echo cancellation for a video conference system is described. A location of a person in a room can be determined. An audio signal received from the location of the person can be captured using beamforming. An acoustic echo cancellation parameter can be determined based in part on the audio signal captured from the location of the person. Acoustic echo cancellation can be performed on the audio signal using the acoustic echo cancellation parameter.

Acoustic echo cancellation

According to examples, an apparatus may include a processor and a non-transitory computer readable medium on which is stored instructions that the processor may execute to access an audio signal captured by a microphone of a user's speech while the microphone is in a muted state. The processor may also execute the instructions to analyze a spectral or frequency content of the accessed audio signal to determine whether the user was facing the microphone while the user spoke. In addition, based on a determination that the user was facing the microphone while the user spoke, the processor may execute the instructions to unmute the microphone.

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Palo Alto, CA, United States of America

Srikanth Kuthuru