Qualcomm Incorporated

Duminda Dewasurendra

Vivek Rajendran

Daniel Jared Sinder

Subasingha Shaminda Subasingha

Venkatraman Atti

Venkata Subrahmanyam Chandra Sekhar Chebiyyam

Chandra Mouli Polisetty

Zisis Iason Skordilis

Guillaume Konrad SAUTIÈRE

A method of capturing video includes instructing a microphone to initiate an audio scan of different areas of interest to detect audio activity. The method also includes receiving a feedback signal from the microphone in response to initiating the audio scan. The feedback signal indicates audio activity in a particular area of interest. The method further includes adjusting targeting characteristics of a device based on the feedback signal to focus the device on the particular area of interest.

Device adjustment based on laser microphone feedback

A method and an apparatus for estimating speech signal in split-domain is disclosed. The method includes performing LP analysis on a noisy speech signal to generate a first plurality of LPC and a first residual signal. The method also includes estimating speech LPC spectrum to generate cleaned LPC. The method further includes estimating speech residual spectrum to generate cleaned residual signal. The method also includes synthesizing output signals based on the cleaned LPC and the cleaned residual signal.

Split-domain speech signal enhancement

A method of capturing audio includes initiating capture, at a laser microphone, of first audio of an area of interest. The first audio is captured while the laser microphone is focused on a first target surface associated with the area of interest. The method also includes generating adjustment parameters based on a feedback signal to adjust targeting characteristics of the laser microphone. The method further includes adjusting the targeting characteristics of the laser microphone based on the adjustment parameters to focus the laser microphone on a second target surface associated with the area of interest. The method also includes initiating capture, at the laser microphone, of second audio of the area of interest in response to adjusting the targeting characteristics. The second audio has an audio quality that is greater than the first audio.

Adjustable laser microphone

Techniques are described for performing adaptive noise suppression to improve handling of both speech signals and music signals at least up to super wideband (SWB) bandwidths. The techniques include identifying a context or environment in which audio data is captured, and adaptively changing a level of noise suppression applied to the audio data prior to bandwidth compressing (e.g., encoding) based on the context. For a valid speech context, an audio pre-processor may set a first level of noise suppression that is relatively aggressive in order to suppress noise (including music) in the speech signals. For a valid music context, the audio pre-processor may set a second level of noise suppression that is less aggressive in order to leave the music signals undistorted. In this way, a vocoder at a transmitter side wireless communication device may properly encode both speech and music signals with minimal distortions.

Adaptive noise suppression for super wideband music

A device includes a de-jitter buffer configured to receive a packet, the packet including first data and second data. The first data includes a partial copy of first frame data corresponding to a first frame of a sequence of frames. The second data corresponds to a second frame of the sequence of frames. The device also includes an analyzer configured to, in response to receiving the packet, generate a first frame receive timestamp associated with the first data. The analyzer is also configured to, in response to receiving the packet, generate a second frame receive timestamp associated with the second data. The first frame receive timestamp indicates a first time that is earlier than a second time indicated by the second frame receive timestamp.

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San Diego, CA, United States of America

Duminda Dewasurendra