STEERING OF BINAURALIZATION OF AUDIO

    公开(公告)号:US20220279300A1

    公开(公告)日:2022-09-01

    申请号:US17637446

    申请日:2020-08-19

    Abstract: A method for steering binauralization of audio is provided. The method comprises steps of: receiving (410) an audio input signal, calculating (430) a confidence value indicating a likelihood that a current audio frame of the audio input signal comprises binauralized audio; determining (450) a state signal based on the confidence value; determining (460) a steering signal, based on the first confidence value, the state signal and an energy value of the audio frame; and generating (470) an audio output signal with steered binauralization by processing the audio input signal according to the steering signal.

    AUDIO SOURCE SEPARATION
    2.
    发明申请

    公开(公告)号:US20190392848A1

    公开(公告)日:2019-12-26

    申请号:US16561836

    申请日:2019-09-05

    Abstract: The present document describes a method for extracting J audio sources from I audio channels. The method includes updating a Wiener filter matrix based on a mixing matrix from a source matrix and based on a power matrix of the J audio sources. Furthermore, the method includes updating a cross-covariance matrix of the I audio channels and of the J audio sources and an auto-covariance matrix of the J audio sources, based on the updated Wiener filter matrix and based on an auto-covariance matrix of the I audio channels. In addition, the method includes updating the mixing matrix and the power matrix based on the updated cross-covariance matrix of the I audio channels and of the J audio sources, and/or based on the updated auto-covariance matrix of the J audio sources.

    AUDIO SOURCE SEPARATION
    3.
    发明申请

    公开(公告)号:US20190122674A1

    公开(公告)日:2019-04-25

    申请号:US16091069

    申请日:2017-04-06

    Abstract: The present document describes a method (100) for extracting audio sources (301) from audio channels (302). The method (100) includes updating (102) a Wiener filter matrix based on a mixing matrix from a source matrix and based on a power matrix of the audio sources (301). Furthermore, the method (100) includes updating (103) a cross-covariance matrix of the audio channels (302) and of the audio sources (301) and an auto-covariance matrix of the audio sources (301), based on the updated Wiener filter matrix and based on an auto-covariance matrix of the audio channels (302). In addition, the method (100) includes updating (104) the mixing matrix and the power matrix based on the updated cross-covariance matrix of the audio channels (302) and of the audio sources (301), and/or based on the updated auto-covariance matrix of the audio sources (301).

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