Abstract: A video conference endpoint detects a face and determines a face angle of the detected face relative to a reference direction based on images captured with a camera. The endpoint determines an angle of arrival of sound (i.e., a sound angle) received at a microphone array that transduces the sound relative to the reference direction based on the transduced sound and a sound speed parameter indicative of a speed of sound in air. The endpoint compares the face angle against the sound angle, and adjusts the sound speed parameter so as to reduce the angle difference if the compare indicates an angle difference greater than zero between the face and sound angles.

Abstract: A system and method for joint acoustic echo control and adaptive array processing, comprising the decomposition of a captured sound field into N sub-sound fields, applying linear echo cancellation to each sub-sound field, selecting L sub-sound fields from the N sub-sound fields, performing L channel adaptive array processing utilizing the L selected sub-sound fields, and applying non-linear audio echo cancellation.

Abstract: Systems, processes, devices, apparatuses, algorithms and computer readable medium for suppressing spatial interference using a dual microphone array for receiving, from a first microphone and a second microphone that are separated by a predefined distance, and that are configured to receive source signals, respective first and second microphone signals based on received source signals. A phase difference between the first and the second microphone signals is calculated based on the predefined distance. An angular distance between directions of arrival of the source signals and a desired capture direction is calculated based on the phase difference. Directional-filter coefficients are calculated based on the angular distance. Undesired source signals are filtered from an output based on the directional-filter coefficients.

Abstract: A processing system can include a tracking microphone array; audio tracker circuitry connected to the tracking microphone array to track an audio source based on an audio input from the array; communication microphones; and a processor. The processor can include audio circuitry to receive an audio input from the communication microphones and process the audio input to apply one or more of acoustic echo cancellation (AEC) and acoustic echo suppression (AES) processing to the audio input. The processor can further include calculating circuitry to calculate a ratio of signal power after and before the AEC and/or the AES processing, and control circuitry to generate an acoustic echo presence indication based on the ratio calculated by the calculating circuitry. The processor can transmit, via transmitting circuitry, the acoustic echo presence indication to an audio tracking device via a data communication channel between the processor and the audio tracker.

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: Systems, processes, devices, apparatuses, algorithms and computer readable medium for suppressing spatial interference using a dual microphone array for receiving, from a first microphone and a second microphone that are separated by a predefined distance, and that are configured to receive source signals, respective first and second microphone signals based on received source signals. A phase difference between the first and the second microphone signals is calculated based on the predefined distance. An angular distance between directions of arrival of the source signals and a desired capture direction is calculated based on the phase difference. Directional-filter coefficients are calculated based on the angular distance. Undesired source signals are filtered from an output based on the directional-filter coefficients.

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: 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 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: Systems, processes, devices, apparatuses, algorithms and computer readable medium for suppressing spatial interference using a dual microphone array for receiving, from a first microphone and a second microphone that are separated by a predefined distance, and that are configured to receive source signals, respective first and second microphone signals based on received source signals. A phase difference between the first and the second microphone signals is calculated based on the predefined distance. An angular distance between directions of arrival of the source signals and a desired capture direction is calculated based on the phase difference. Directional-filter coefficients are calculated based on the angular distance. Undesired source signals are filtered from an output based on the directional-filter coefficients.

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 video conference endpoint detects a face and determines a face angle of the detected face relative to a reference direction based on images captured with a camera. The endpoint determines an angle of arrival of sound (i.e., a sound angle) received at a microphone array that transduces the sound relative to the reference direction based on the transduced sound and a sound speed parameter indicative of a speed of sound in air. The endpoint compares the face angle against the sound angle, and adjusts the sound speed parameter so as to reduce the angle difference if the compare indicates an angle difference greater than zero between the face and sound angles.

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.

Abstract: A processing system can include a tracking microphone array; audio tracker circuitry connected to the tracking microphone array to track an audio source based on an audio input from the array; communication microphones; and a processor. The processor can include audio circuitry to receive an audio input from the communication microphones and process the audio input to apply one or more of acoustic echo cancellation (AEC) and acoustic echo suppression (AES) processing to the audio input. The processor can further include calculating circuitry to calculate a ratio of signal power after and before the AEC and/or the AES processing, and control circuitry to generate an acoustic echo presence indication based on the ratio calculated by the calculating circuitry. The processor can transmit, via transmitting circuitry, the acoustic echo presence indication to an audio tracking device via a data communication channel between the processor and the audio tracker.

Abstract: Systems, processes, devices, apparatuses, algorithms and computer readable medium for suppressing spatial interference using a dual microphone array for receiving, from a first microphone and a second microphone that are separated by a predefined distance, and that are configured to receive source signals, respective first and second microphone signals based on received source signals. A phase difference between the first and the second microphone signals is calculated based on the predefined distance. An angular distance between directions of arrival of the source signals and a desired capture direction is calculated based on the phase difference. Directional-filter coefficients are calculated based on the angular distance. Undesired source signals are filtered from an output based on the directional-filter coefficients.

Abstract: A method of forming a beampattern in a beamformer of the type in which the beamformer receives input signals from a sensor array, decomposes the input signals into the spherical harmonics domain, applies weighting coefficients to the spherical harmonics and combines them to form an output signal, wherein the weighting coefficients are optimized for a given set of input parameters by convex optimization. Formulations are provided for forming second order cone programming constraints for multiple main lobe generation, uniform and non-uniform side lobe control, automatic null steering, robustness and white noise gain.