DATA DRIVEN AUDIO ENHANCEMENT
    1.
    发明申请

    公开(公告)号:US20210217436A1

    公开(公告)日:2021-07-15

    申请号:US17212965

    申请日:2021-03-25

    申请人: BabbleLabs LLC

    摘要: Systems and methods are disclosed for audio enhancement. For example, methods may include accessing audio data; determining a window of audio samples based on the audio data; inputting the window of audio samples to a classifier to obtain a classification, in which the classifier includes a neural network and the classification takes a value from a set of multiple classes of audio; selecting, based on the classification, an audio enhancement network from a set of multiple audio enhancement networks; applying the selected audio enhancement network to the window of audio samples to obtain an enhanced audio segment, in which the selected audio enhancement network includes a neural network that has been trained using audio signals of a type associated with the classification; and storing, playing, or transmitting an enhanced audio signal based on the enhanced audio segment.

    Data Driven Radio Enhancement
    3.
    发明申请

    公开(公告)号:US20210151069A1

    公开(公告)日:2021-05-20

    申请号:US17158873

    申请日:2021-01-26

    申请人: BabbleLabs LLC

    摘要: Systems and methods are disclosed for data driven radio enhancement. For example, methods may include demodulating a radio signal to obtain a demodulated audio signal; determining a window of audio samples based on the demodulated audio signal; applying an audio enhancement network to the window of audio samples to obtain an enhanced audio segment, in which the audio enhancement network includes a machine learning network that has been trained using demodulated audio signals derived from radio signals; and storing, playing, or transmitting an enhanced audio signal based on the enhanced audio segment.

    Data driven audio enhancement
    4.
    发明授权

    公开(公告)号:US10991379B2

    公开(公告)日:2021-04-27

    申请号:US16016043

    申请日:2018-06-22

    申请人: BabbleLabs, LLC

    摘要: Systems and methods are disclosed for audio enhancement. For example, methods may include accessing audio data; determining a window of audio samples based on the audio data; inputting the window of audio samples to a classifier to obtain a classification, in which the classifier includes a neural network and the classification takes a value from a set of multiple classes of audio; selecting, based on the classification, an audio enhancement network from a set of multiple audio enhancement networks; applying the selected audio enhancement network to the window of audio samples to obtain an enhanced audio segment, in which the selected audio enhancement network includes a neural network that has been trained using audio signals of a type associated with the classification; and storing, playing, or transmitting an enhanced audio signal based on the enhanced audio segment.