SOURCE SEPARATION AND REMIXING IN SIGNAL PROCESSING

    公开(公告)号:US20250046328A1

    公开(公告)日:2025-02-06

    申请号:US18709129

    申请日:2022-10-26

    Abstract: The present disclosure relates to a method and audio processing system (1) for performing source separation. The method comprises obtaining (S1) an audio signal (Sin) including a mixture of speech content and noise content, determining (S2a, S2b, S2c), from the audio signal, speech content (formula A), stationary noise content (formula C) and non-speech content (formula B). The stationary noise content (formula C) is a true subset of the non-speech content (formula B) and the method further comprises determining (S3), based on a difference between the stationary noise content (formula C) and the non-speech content (formula B) a non-stationary noise content formula D), obtaining (S5) a set of weighting factors and forming (S6) a processed audio signal based on a combination of the speech content (formula A), the stationary noise content (formula C), and the non-stationary noise content (formula D) weighted with their respective weighting factor. (Ŝ1)  formula A ({circumflex over (N)}1)  formula B ({circumflex over (N)}2)  formula C ({circumflex over (N)}NS)  formula D

    METHOD FOR NEURAL NETWORK TRAINING WITH MULTIPLE SUPERVISORS

    公开(公告)号:US20250045585A1

    公开(公告)日:2025-02-06

    申请号:US18716895

    申请日:2022-12-08

    Abstract: The present disclosure relates to a method for designing a processor (20) and a computer implemented neural network. The method comprises obtaining input data and corresponding ground truth target data and providing the input data to a processor (20) for outputting a first prediction of target data given the input data. The method further comprises providing the latent variables output by a processor module (21: 1, 21: 2, . . . 21: n−1) to a supervisor module (22: 1, 22: 2, 22: 3, . . . 22: n−1) which outputs a second prediction of target data based on latent variables and determining a first and second loss measure by comparing the predictions of target data with the ground truth target data. The method further comprises training the processor (20) and the supervisor module (22: 1, 22: 2, 22: 3, . . . 22: n−1) based on the first and second loss measure and adjusting the processor by at least one of removing, replacing and adding a processor module.

    IMPROVING PERCEPTUAL QUALITY OF DEREVERBERATION

    公开(公告)号:US20240170001A1

    公开(公告)日:2024-05-23

    申请号:US18548854

    申请日:2022-03-09

    Inventor: Yuanxing MA Kai LI

    CPC classification number: G10L21/0232 H04S7/305 G10L2021/02082

    Abstract: A method for reverberation suppression may involve receiving an input audio signal. The method may involve calculating an initial reverberation suppression gain for the input audio signal for at least one frame of the input audio signal. The method may involve calculating at least one adjusted reverberation suppression gain, where the at least one adjusted reverberation suppression gain adjusts at least one of: 1) a reverberation suppression decay based on a reverberation intensity detected in the input audio signal; 2) gains applied to different frequency bands of the input audio signal based on an amount of room resonance detected in the input audio signal; or 3) a loudness of the input audio signal based on a direct part of the input audio signal. The method may involve generating an output audio signal by applying the at least one adjusted reverberation suppression gain to the input audio signal.

    CONTEXT AWARE SOUNDSCAPE CONTROL
    5.
    发明公开

    公开(公告)号:US20240155289A1

    公开(公告)日:2024-05-09

    申请号:US18548791

    申请日:2022-04-28

    Abstract: Embodiments are disclosed for context aware soundscape control. In an embodiment, an audio processing method comprises: capturing, using a first set of microphones on a mobile device, a first audio signal from an audio scene; capturing, using a second set of microphones on a pair of earbuds, a second audio signal from the audio scene; capturing, using a camera on the mobile device, a video signal from a video scene; generating, with at least one processor, a processed audio signal from the first audio signal and the second audio signal, the processed audio signal generated with adaptive soundscape control based on context information; and combining, with the at least one processor, the processed audio signal and the captured video signal as multimedia output.

    CONTEXT AWARE AUDIO PROCESSING
    6.
    发明公开

    公开(公告)号:US20240170004A1

    公开(公告)日:2024-05-23

    申请号:US18548750

    申请日:2022-04-28

    CPC classification number: G10L21/0364 G10L21/034 G10L25/18 G10L25/30 G10L25/78

    Abstract: Embodiments are disclosed for context aware audio processing. In an embodiment, an audio processing method comprises: receiving, with one or more sensors of a device, environment information about an audio recording captured by the device; detecting, with at least one processor of the device, a context of the audio recording based on the audio recording and the environment information; determining, with the at least one processor, a model based on the context; processing, with the at least one processor, the audio recording based on the model to produce a processed audio recording with suppressed noise; determining, with the at least one processor, an audio processing profile based on the context; and combining, with the at least one processor, the audio recording and the processed audio recording based on the audio processing profile.

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