Abstract: Systems and methods of the present disclosure are directed to automatic control of mute controllers for participants in videoconferences. For example, a method for automatically controlling a mute control associated with a participant during a videoconference includes obtaining communication data associated with the participant participating in the videoconference. The communication data includes audio signals associated with the participant and/or visual signals associated with the participant. The method includes processing the communication data by a gate control model to generate an output. The output is indicative of an intent of the participant to communicate with other participants of the videoconference. The method includes generating a noise gate status based at least in part on the output associated with the gate control model. The method includes automatically controlling the mute control of the participant based at least in part on the noise gate status.

Abstract: A method for detecting and flagging problems in videoconferencing is provided. The method includes collecting, by a processing device of a user videoconferencing device, one or more sets of acoustic parameters associated with a conference room. Each set of the one or more sets of acoustic parameters is associated with a video conference attended by a corresponding plurality of users. The method further includes determining whether a first set of the one or more sets of acoustic parameters suggest an action to be performed to improve the first set of acoustic parameters associated with the video conference. The method further includes providing at least one of the one or more sets of acoustic parameters associated with the conference room or the action to be performed to improve the first set of acoustic parameters.

Abstract: A method for detecting and flagging problems in videoconferencing is provided. The method includes measuring, by a processing device of a user videoconferencing device, a first set of acoustic data associated with a conference room during a video conference attended by a plurality of users. The first set of acoustic data indicates one or more acoustic parameters, including the reverberation time, the signal-to-noise ratio, or the absolute noise level of the conference room. The method further includes comparing the one or more first acoustic parameters to one or more thresholds during the video conference. Moreover, the method includes providing at least one of the first acoustic parameters or a result of the comparison to the at least one user during the video conference.

Abstract: A method for detecting and flagging problems in videoconferencing is provided. The method includes measuring, by a processing device of a user videoconferencing device, a first set of acoustic data associated with a conference room during a video conference attended by a plurality of users. The first set of acoustic data indicates one or more acoustic parameters, including the reverberation time, the signal-to-noise ratio, or the absolute noise level of the conference room. The method further includes comparing the one or more first acoustic parameters to one or more thresholds during the video conference. Moreover, the method includes providing at least one of the first acoustic parameters or a result of the comparison to the at least one user during the video conference.

Abstract: A method for detecting and flagging problems in videoconferencing is provided. The method includes measuring, by a processing device of a videoconferencing device, a first set of acoustic data associated with a conference room during a video conference attended by a plurality of users. The first set of acoustic data indicates one or more acoustic parameters, including the reverberation time, the signal-to-noise ratio, or the absolute noise level of the conference room. The method further includes determining whether the acoustic parameters suggest that a feedback is to be provided to one or more of the users regarding an action to be performed to improve the acoustic parameters during the video conference. Moreover, the method includes responsive to determining that the feedback is to be provided to at least one user, providing the feedback to the at least one user during the video conference.

Abstract: A method for detecting and flagging problems in videoconferencing is provided. The method includes measuring, by a processing device of a videoconferencing device, a first set of acoustic data associated with a conference room during a video conference attended by a plurality of users. The first set of acoustic data indicates one or more acoustic parameters, including the reverberation time, the signal-to-noise ratio, or the absolute noise level of the conference room. The method further includes determining whether the acoustic parameters suggest that a feedback is to be provided to one or more of the users regarding an action to be performed to improve the acoustic parameters during the video conference. Moreover, the method includes responsive to determining that the feedback is to be provided to at least one user, providing the feedback to the at least one user during the video conference.

Abstract: The present invention relates to a device, such as an audio communication device, for combining a plurality of microphone signals xn(k) into a single output signal y(k). The device comprises processing means configured to calculate control signals fn(k), and control means configured to select which microphone signal xn(k) or which combination of microphone signals xn(k) to use as output signal y(k) based on said control signals fn(k). To improve the selection, the device comprises linear prediction filters for calculating linear prediction residual signals en(k) from the plurality of microphone signals xn(k), and the processing means is configured to calculate the control signals fn(k) based on said linear prediction residual signals en(k).

Abstract: The present invention relates to a device, such as a communication device, comprising an adaptive foreground filter configured to calculate a first echo estimation signal based on a first input signal, and an adaptive background filter being more rapidly adapting than the foreground filter and configured to calculate a second echo estimation signal based on said first input signal. Embodiments of the device further comprise damping control means for controlling damping of an echo-cancelled output signal. The device in various embodiments includes that the damping control means is configured to calculate a maximum echo estimation signal using both the first and the second echo estimation signals, and control the damping of the echo-cancelled output signal based on said maximum echo estimation signal and/or a signal derived from said maximum echo estimation signal.

Abstract: The present invention relates to a device, such as an audio communication device, for combining a plurality of microphone signals xn(k) into a single output signal y(k). The device comprises processing means configured to calculate control signals fn(k), and control means configured to select which microphone signal xn(k) or which combination of microphone signals xn(k) to use as output signal y(k) based on said control signals fn(k). To improve the selection, the device comprises linear prediction filters for calculating linear prediction residual signals en(k) from the plurality of microphone signals xn(k), and the processing means is configured to calculate the control signals fn(k) based on said linear prediction residual signals en(k).

Abstract: The present invention relates to a device, such as a communication device, comprising an adaptive foreground filter configured to calculate a first echo estimation signal based on a first input signal, and an adaptive background filter being more rapidly adapting than the foreground filter and configured to calculate a second echo estimation signal based on said first input signal. Embodiments of the device further comprise damping control means for controlling damping of an echo-cancelled output signal. The device in various embodiments includes that the damping control means is configured to calculate a maximum echo estimation signal using both the first and the second echo estimation signals, and control the damping of the echo-cancelled output signal based on said maximum echo estimation signal and/or a signal derived from said maximum echo estimation signal.