Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

Abstract: In one embodiment, a method is disclosed comprising: monitoring, by a device and during a video conferencing session in a video conferencing area, audio quality of audio collected from a subject participating in the video conferencing session; detecting, by the device and based on the audio quality, an audio quality issue for the audio collected from the subject; generating, by the device, an orientation instruction predicted to mitigate the audio quality issue based on an audio quality visualization map generated from historical audio quality data in the video conferencing area; and providing, by the device and during the video conferencing session, the orientation instruction to the subject.

Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

Abstract: Managing noise during an online conference session includes obtaining audio data from an endpoint participating in an online conference session. The audio data is derived from audio captured at the endpoint that includes musical sounds. The audio data is processed to identify a portion of the audio data in which a decibel level of the musical sounds is stable for a period of time. Non-musical noise present, if any, in the audio data with the musical sounds is identified and the non-musical noise is attenuated from the audio data to generate noise-reduced musical audio data. The noise-reduced musical audio data is transmitted for play out at one or more other endpoints participating in the online conference session.

Abstract: Disclosed is a method that includes receiving an audio video stream, decoding the audio video stream to yield decoded video and decoded audio, transmitting the decoded video on a video cable to a display, transmitting a signal, such as, for example, a signal on an audio channel of the video cable, identifying an impulse response based on a received signal responsive to the transmitting of the signal, identifying a delay amount based on the impulse response and transmitting the decoded audio to a loudspeaker according to the delay amount. The cable can include an HDMI cable with the audio return channel (ARC) capability.

Abstract: Disclosed is a method that includes receiving an audio video stream, decoding the audio video stream to yield decoded video and decoded audio, transmitting the decoded video on a video cable to a display, transmitting a signal, such as, for example, a signal on an audio channel of the video cable, identifying an impulse response based on a received signal responsive to the transmitting of the signal, identifying a delay amount based on the impulse response and transmitting the decoded audio to a loudspeaker according to the delay amount. The cable can include an HDMI cable with the audio return channel (ARC) capability.

Abstract: Techniques are presented herein for a server to automatically determine the locations of collaboration endpoints and user devices throughout a building, and then provide the user devices with directions to the endpoints. The server collects air pressure and GPS readings from the user devices over a period of time. The readings may be collected from user devices that are paired or unpaired with endpoints at the time of the readings. Over a period of time, the plurality of readings may be used by the server to calculate user device offsets, endpoint offsets, floor level offsets, and endpoint relative orientations within the building. The server may then, in response to a notification of an upcoming meeting, provide the user device with directions to the meeting based on the collected readings.

Abstract: Techniques are presented herein for a server to automatically determine the locations of collaboration endpoints and user devices throughout a building, and then provide the user devices with directions to the endpoints. The server collects air pressure and GPS readings from the user devices over a period of time. The readings may be collected from user devices that are paired or unpaired with endpoints at the time of the readings. Over a period of time, the plurality of readings may be used by the server to calculate user device offsets, endpoint offsets, floor level offsets, and endpoint relative orientations within the building. The server may then, in response to a notification of an upcoming meeting, provide the user device with directions to the meeting based on the collected readings.

Abstract: Techniques are presented herein for a server to automatically determine the locations of collaboration endpoints and user devices throughout a building, and then provide the user devices with directions to the endpoints. The server collects air pressure and GPS readings from the user devices over a period of time. The readings may be collected from user devices that are paired or unpaired with endpoints at the time of the readings. Over a period of time, the plurality of readings may be used by the server to calculate user device offsets, endpoint offsets, floor level offsets, and endpoint relative orientations within the building. The server may then, in response to a notification of an upcoming meeting, provide the user device with directions to the meeting based on the collected readings.

Abstract: A video conference endpoint determines a position of a best audio pick-up region for placement of a sound source relative to a microphone having a receive pattern configured to capture sound signals from the best region. The endpoint captures an image of a scene that encompasses the best region and displays the image of the scene. The endpoint generates an image representative of the best region and displays the generated image representative of the best region as an overlay of the scene image.

Abstract: Presented herein are techniques for controlling the level of ultrasound pairing signals generated in a teleconferencing environment. The levels of ultrasound pairing signals transmitted in a meeting room are adjusted automatically based on the ultrasound signal levels received at one or more of the sound receiving devices that can communicate with a teleconferencing endpoint in the meeting room.

Abstract: A telepresence video conference endpoint device includes spaced-apart microphone arrays each configured to transduce sound into corresponding sound signals. A processor receives the sound signals from the arrays and determines a direction-of-arrival (DOA) of sound at each array based on the set of sound signals from that array, determines if each array is blocked or unblocked based on the DOA determined for that array, selects an array among the arrays based on whether each array is determined to be blocked or unblocked, and perform subsequent sound processing based on one or more of the sound signals from the selected array.

Abstract: A processing system can include a processor that includes circuitry. The circuitry can be configured to: receive far-end and near-end audio signals; detect silence events and voice activities from the audio signals; determine whether an audio event in the audio signals is an interference event or a speaker event based on the detected silence events and voice activities, and further based on localized acoustic source data and faces or motion detected from an image; and generate a mute or unmute indication based on whether the audio event is the interference event or the speaker event. The system can include a near-end microphone array to output the near-end audio signals, one or more far-end microphones to output the far-end audio signals, and one or more cameras to capture the image of the environment.

Abstract: A video conference endpoint determines a position of a best audio pick-up region for placement of a sound source relative to a microphone having a receive pattern configured to capture sound signals from the best region. The endpoint captures an image of a scene that encompasses the best region and displays the image of the scene. The endpoint generates an image representative of the best region and displays the generated image representative of the best region as an overlay of the scene image.

Abstract: A telepresence video conference endpoint device includes spaced-apart microphone arrays each configured to transduce sound into corresponding sound signals. A processor receives the sound signals from the arrays and determines a direction-of-arrival (DOA) of sound at each array based on the set of sound signals from that array, determines if each array is blocked or unblocked based on the DOA determined for that array, selects an array among the arrays based on whether each array is determined to be blocked or unblocked, and perform subsequent sound processing based on one or more of the sound signals from the selected array.

Abstract: A processing system can include a processor that includes circuitry. The circuitry can be configured to: receive far-end and near-end audio signals; detect silence events and voice activities from the audio signals; determine whether an audio event in the audio signals is an interference event or a speaker event based on the detected silence events and voice activities, and further based on localized acoustic source data and faces or motion detected from an image; and generate a mute or unmute indication based on whether the audio event is the interference event or the speaker event. The system can include a near-end microphone array to output the near-end audio signals, one or more far-end microphones to output the far-end audio signals, and one or more cameras to capture the image of the environment.

Abstract: Presented herein are techniques for controlling the level of ultrasound pairing signals generated in a teleconferencing environment. The levels of ultrasound pairing signals transmitted in a meeting room are adjusted automatically based on the ultrasound signal levels received at one or more of the sound receiving devices that can communicate with a teleconferencing endpoint in the meeting room.