Incoherent idempotent ambisonics rendering

    公开(公告)号:US10015618B1

    公开(公告)日:2018-07-03

    申请号:US15666220

    申请日:2017-08-01

    Applicant: Google Inc.

    Abstract: Techniques of rendering sound for a listener involve producing, as the amplitude of each of the source driving signals, a sum of two terms: a first term based on a solution s† to the equation b=A·s, and a second term based on a projection of a specified vector ŝ onto the nullspace of A, ŝ not being a solution to the equation b=A·s. Along these lines, in one example, the first term is equivalent to a Moore-Penrose pseudoinverse, e.g., AH(AAH)−1·b. In general, any solution to the equation b=A·s is satisfactory. The specified vector that is projected onto the nullspace of A is defined to reduce the coherence of the net sound field. Advantageously, the resulting operator is both linear time-invariant and idempotent so that the sound field may be faithfully reproduce both inside the RSF and at a sufficient range outside the RSF to cover a human head.

    BLIND SOURCE SEPARATION USING SIMILARITY MEASURE

    公开(公告)号:US20180182412A1

    公开(公告)日:2018-06-28

    申请号:US15412812

    申请日:2017-01-23

    Applicant: Google Inc.

    Abstract: A method includes: receiving time instants of audio signals generated by a set of microphones at a location; determining a distortion measure between frequency components of at least some of the received audio signals; determining a similarity measure for the frequency components using the determined distortion measure; and processing the audio signals based on the determined similarity measure.

    Blind source separation using similarity measure

    公开(公告)号:US10770091B2

    公开(公告)日:2020-09-08

    申请号:US15412812

    申请日:2017-01-23

    Applicant: Google Inc.

    Abstract: A method includes: receiving time instants of audio signals generated by a set of microphones at a location; determining a distortion measure between frequency components of at least some of the received audio signals; determining a similarity measure for the frequency components using the determined distortion measure; and processing the audio signals based on the determined similarity measure.

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