Spatial headphone transparency
    27.
    发明授权

    公开(公告)号:US10034092B1

    公开(公告)日:2018-07-24

    申请号:US15273396

    申请日:2016-09-22

    Applicant: Apple Inc.

    Abstract: Digital audio signal processing techniques used to provide an acoustic transparency function in a pair of headphones. A number of transparency filters can be computed at once, using optimization techniques or using a closed form solution, that are based on multiple re-seatings of the headphones and that are as a result robust for a population of wearers. In another embodiment, a transparency hearing filter of a headphone is computed by an adaptive system that takes into consideration the changing acoustic to electrical path between an earpiece speaker and an interior microphone of that headphone while worn by a user. Other embodiments are also described and claimed.

    SYSTEM AND METHOD FOR PERFORMING SPEECH ENHANCEMENT USING A DEEP NEURAL NETWORK-BASED SIGNAL

    公开(公告)号:US20180040333A1

    公开(公告)日:2018-02-08

    申请号:US15227885

    申请日:2016-08-03

    Applicant: Apple Inc.

    CPC classification number: G10L21/0232 G10L25/30 G10L25/87 G10L2021/02082

    Abstract: Method for performing speech enhancement using a Deep Neural Network (DNN)-based signal starts with training DNN offline by exciting a microphone using target training signal that includes signal approximation of clean speech. Loudspeaker is driven with a reference signal and outputs loudspeaker signal. Microphone then generates microphone signal based on at least one of: near-end speaker signal, ambient noise signal, or loudspeaker signal. Acoustic-echo-canceller (AEC) generates AEC echo-cancelled signal based on reference signal and microphone signal. Loudspeaker signal estimator generates estimated loudspeaker signal based on microphone signal and AEC echo-cancelled signal. DNN receives microphone signal, reference signal, AEC echo-cancelled signal, and estimated loudspeaker signal and generates a speech reference signal that includes signal statistics for residual echo or for noise. Noise suppressor generates a clean speech signal by suppressing noise or residual echo in the microphone signal based on speech reference signal. Other embodiments are described.

    Machine learning and user driven selective hearing

    公开(公告)号:US12141347B1

    公开(公告)日:2024-11-12

    申请号:US18055600

    申请日:2022-11-15

    Applicant: Apple Inc.

    Abstract: An audio processing device may generate a plurality of microphone signals from a plurality of microphones of the audio processing device. The audio processing device may determine a gaze of a user who is wearing a playback device that is separate from the audio processing device, the gaze of the user being determined relative to the audio processing device. The audio processing device may extract speech that correlates to the gaze of the user, from the plurality of microphone signals of the audio processing device by applying the plurality of microphone signals of the audio processing device and the gaze of the user to a machine learning model. The extracted speech may be played to the user through the playback device.

    Processing Sound in an Enhanced Reality Environment

    公开(公告)号:US20240236610A1

    公开(公告)日:2024-07-11

    申请号:US18611407

    申请日:2024-03-20

    Applicant: Apple Inc.

    CPC classification number: H04S7/305 H04S2420/01

    Abstract: Processing sound in an enhanced reality environment can include generating, based on an image of a physical environment, an acoustic model of the physical environment. Audio signals captured by a microphone array, can capture a sound in the physical environment. Based on these audio signals, one or more measured acoustic parameters of the physical environment can be generated. A target audio signal can be processed using the model of the physical environment and the measured acoustic parameters, resulting in a plurality of output audio channels having a virtual sound source with a virtual location. The output audio channels can be used to drive a plurality of speakers. Other aspects are also described and claimed.

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