Abstract: A headset charging dock includes a headset mechanical support configured to hang a first headset by a headband of the first headset; and a wireless charging interface for the first headset, the wireless charging interface integrated in the headset mechanical support.

Abstract: Headphones include an earbud, including a knob-shaped body, an earbud tip extending from the knob-shaped body and configured to enter an ear canal of a listener, a harness strap interface disposed on the knob-shaped body and configured to removably accommodate a detachable harness strap.

Abstract: A headset case includes a base providing a cavity for stowing a headset, the base including a bottom region configured to rest on a surface; a lid; and a hinge pivotably connecting the lid to the base. When the headset case is in a closed configuration, the lid covers the cavity. When the headset case is in an open configuration, a first section of the lid at least partially rests on the surface, and a second section of the lid, extending from the first section of the lid, is configured to prop up a smartphone by mechanically supporting the smartphone leaning against the second section of the lid while resting on the base.

Abstract: A videoconferencing device at an endpoint determines whether a person is a real person standing in front of a display device or if the person is instead an image rendered by a display device. In the first instance the real person will be included in a video feed for transmission to a remote endpoint. In the second instance, images of the display device on which the person is rendered will not be included in the video feed.

Abstract: One or more embodiments relate to a computer implemented method that includes extracting file attribute values for multiple files on a conferencing endpoint, and extracting, from a conferencing application, conference attribute values. Responsive to a trigger of a file share via the conferencing application and during a conference call, the computer implemented method further includes selecting a matching file from the multiple files by applying a matching algorithm to the conference attribute values and the file attribute values, and presenting, during the conference call, recommended content including the matching file.

Abstract: Headsets with an improved headband are provided. In some embodiments, a headset comprises: a left earphone assembly; a right earphone assembly; and a headband assembly having a left end movably coupled to the left earphone assembly and a right end movably coupled to the right earphone assembly. The headband assembly comprises: an outer headband, extending between the left end and the right end of the headband assembly; a first elongated housing, arranged on an interior side of the outer headband and extending from the left end of the headband assembly to a first housing inner end; a second elongated housing, arranged on the interior side of the outer headband and extending from the right end of the headband assembly to a second housing inner end; and an inner headband, coupled between the first housing inner end and the second housing inner end on an interior side of the outer headband.

Abstract: A system includes a speaker enclosure, a speaker in the speaker enclosure, and a meta cell. The meta cell includes an opening on a first end connected to the speaker enclosure, and a closed cavity on a second end.

Abstract: PTP timestamps are obtained and correlated to internal audio time and timestamps. This allows Ethernet/IP audio devices to be closely aligned with local digital audio devices to allow improved AEC operations. By performing repetitive PTP timestamps based on local audio time, drift between PTP time and local audio time is determined and corrected. By performing the PTP to local audio time operations on each independent Ethernet network, the Ethernet/IP audio devices can be split between independent LANs. If some local digital audio inputs formed from analog inputs are not aligned with other local digital audio inputs, signals can be provided in analog format and audio samples of the signals can be correlated to local audio time. With correlations performed as necessary based on the various audio inputs in use, high quality AEC operations are performed.

Abstract: A method for hybrid noise suppression involves receiving a first processed audio signal and a second processed audio signal from an audio device. The first processed audio signal results from a comprehensive audio processing including a noise spectrum estimate-based noise suppression performed on a noisy audio input signal obtained by the audio device. The second processed signal results from a partial audio processing excluding the noise spectrum estimate-based noise suppression performed on the noisy audio input signal. The method further involves temporally aligning the second processed audio signal with the first processed audio signal, predicting a noise suppression parameter using a neural network model operating on the second processed audio signal after the temporal alignment, generating a noise-suppressed audio output signal from the first processed audio signal after the temporal alignment using the noise suppression parameter, and outputting the noise-suppressed audio output signal.

Abstract: Methods and apparatuses for carrier selection are described. In one example, a method of carrier selection for a frequency-hopping wireless communication device includes using a fixed set of available carriers to hop over during communications. The method includes allocating a subset of the available carriers to a long-range carrier class. In one example, the subset of available carriers consists of at least two carrier clusters spaced widely in the frequency spectrum. The method further includes monitoring a transmit power level in the wireless communication device. The method further includes using the long-range carrier class to hop over during communications if the wireless communication device transmit power is greater than a predetermined level.

Abstract: A communication headset includes an earcup, a headband, and a microphone boom assembly. The microphone boom assembly includes a microphone boom, a gear assembly disposed on the earcup and supporting the microphone. The gear assembly enables a rotation of the microphone boom.

Abstract: A method may include identifying, in a frame of a video feed, a region of interest (ROI) and a background, encoding the background using a first quantization parameter to obtain an encoded low-quality background, encoding the ROI using a second quantization parameter to obtain an encoded high-quality ROI, and encoding location information of the ROI to obtain encoded location information. The method may further include combining the encoded low-quality background, the encoded high-quality ROI, and the encoded location information to obtain a combined package. The method may further include transmitting the combined package to a remote endpoint.

Abstract: A method may include obtaining a frame of a video stream of multiple video streams of a video conference, obtaining face detection information identifying a face size and a face position of at least one face detected in the frame, and cropping and scaling the frame according to at least one crop and scale parameter using the face detection information to obtain a modified first frame. The at least one crop and scale parameter is based on frames of the multiple video streams. The frames include the frame. The method may further include presenting the modified frame.

Abstract: A videoconferencing endpoint can adaptively adjust for lens distortion and image deformation depending on the distance of the subject from a camera and the radial distance of the subject from the center of the camera's field of view.

Abstract: A method for hybrid noise suppression involves receiving a first processed audio signal and a second processed audio signal from an audio device. The first processed audio signal results from a comprehensive audio processing including a noise spectrum estimate-based noise suppression performed on a noisy audio input signal obtained by the audio device. The second processed signal results from a partial audio processing excluding the noise spectrum estimate-based noise suppression performed on the noisy audio input signal. The method further involves temporally aligning the second processed audio signal with the first processed audio signal, predicting a noise suppression parameter using a neural network model operating on the second processed audio signal after the temporal alignment, generating a noise-suppressed audio output signal from the first processed audio signal after the temporal alignment using the noise suppression parameter, and outputting the noise-suppressed audio output signal.