SEAMLESS LISTEN-THROUGH FOR A WEARABLE DEVICE

    公开(公告)号:US20200304903A1

    公开(公告)日:2020-09-24

    申请号:US16896010

    申请日:2020-06-08

    Abstract: Methods, systems, and devices for signal processing are described. Generally, in one example as provided for by the described techniques, a wearable device includes a processor configured to retrieve a plurality of external microphone signals that includes audio sound from outside of the device from a memory; to separate, based on at least information from an internal microphone signal, a self-voice component from a background component; to perform a first listen-through operation on the separated self-voice component to produce a first listen-through signal; and to produce an output audio signal that is based on at least the first listen-through signal, wherein the output audio signal includes an audio zoom signal that includes audio sound of the plurality of external microphone signals.

    SEAMLESS LISTEN-THROUGH FOR A WEARABLE DEVICE

    公开(公告)号:US20210204053A1

    公开(公告)日:2021-07-01

    申请号:US17201998

    申请日:2021-03-15

    Abstract: Methods, systems, and devices for signal processing are described. Generally, as provided for by the described techniques, a wearable device may receive an input audio signal (e.g., including both an external signal and a self-voice signal). The wearable device may detect the self-voice signal in the input audio signal based on a self-voice activity detection (SVAD) procedure, and may implement the described techniques based thereon. The wearable device may perform beamforming operations or other separation procedures to isolate the external signal and the self-voice signal from the input audio signal. The wearable device may apply a first filter to the external signal, and a second filter to the self-voice signal. The wearable device may then mix the filtered signals, and generate an output signal that sounds natural to the user.

    USER VOICE ACTIVITY DETECTION USING DYNAMIC CLASSIFIER

    公开(公告)号:US20220115007A1

    公开(公告)日:2022-04-14

    申请号:US17308593

    申请日:2021-05-05

    Abstract: A device includes a memory configured to store instructions and one or more processors configured execute the instructions. The one or more processors are configured execute the instructions to receive audio data including first audio data corresponding to a first output of a first microphone and second audio data corresponding to a second output of a second microphone. The one or more processors are also configured to execute the instructions to provide the audio data to a dynamic classifier. The dynamic classifier is configured to generate a classification output corresponding to the audio data. The one or more processors are further configured to execute the instructions to determine, at least partially based on the classification output, whether the audio data corresponds to user voice activity.

    AUDIO ENCODING BASED ON LINK DATA

    公开(公告)号:US20220383881A1

    公开(公告)日:2022-12-01

    申请号:US17332831

    申请日:2021-05-27

    Abstract: A device includes a memory configured to store instructions and one or more processors configured to execute the instructions. The one or more processors are configured to execute the instructions to obtain link data corresponding to a communication link to a second device. The one or more processors are configured to execute the instructions to select, at least partially based on the link data, between an ambisonics mode and a stereo mode.

    NOISE SUPPRESSION WEARABLE DEVICE
    7.
    发明申请

    公开(公告)号:US20200312341A1

    公开(公告)日:2020-10-01

    申请号:US16370812

    申请日:2019-03-29

    Abstract: A device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to perform an active noise cancellation (ANC) operation on noisy input speech as captured by a first microphone, the noisy input speech as captured by a second microphone, or both, to suppress a noise level associated with the noisy input speech. The one or more processors are configured to match a second frequency spectrum of a second signal with a first frequency spectrum of a first signal. The first signal is representative of the noisy input speech as captured by the first microphone, and the second signal is representative of the noisy input speech as captured by the second microphone. The one or more processors are also configured to generate an output speech signal that is representative of input speech based on the second signal.

Patent Agency Ranking