Methods and apparatus for determining for decoding a compressed hoa sound representation

    公开(公告)号:US11322165B2

    公开(公告)日:2022-05-03

    申请号:US17116900

    申请日:2020-12-09

    Abstract: When compressing an HOA data frame representation, a gain control (15, 151) is applied for each channel signal before it is perceptually encoded (16). The gain values are transferred in a differential manner as side information. However, for starting decoding of such streamed compressed HOA data frame representation absolute gain values are required, which should be coded with a minimum number of bits. For determining such lowest integer number (βe) of bits the HOA data frame representation (C(k)) is rendered in spatial domain to virtual loudspeaker signals lying on a unit sphere, followed by normalisation of the HOA data frame representation (C(k)). Then the lowest integer number of bits is set to βe=┌log2(┌log2(√{square root over (KMAX)}·O)┐+1)┐.

    METHODS, APPARATUS AND SYSTEMS FOR DECOMPRESSING A HIGHER ORDER AMBISONICS (HOA) SIGNAL

    公开(公告)号:US20210058729A1

    公开(公告)日:2021-02-25

    申请号:US17010827

    申请日:2020-09-03

    Abstract: A method for compressing a HOA signal being an input HOA representation with input time frames (C(k)) of HOA coefficient sequences comprises spatial HOA encoding of the input time frames and subsequent perceptual encoding and source encoding. Each input time frame is decomposed (802) into a frame of predominant sound signals (XPS(k−1)) and a frame of an ambient HOA component ({tilde over (C)}AMB(k−1)). The ambient HOA component ({tilde over (C)}AMB(k−1)) comprises, in a layered mode, first HOA coefficient sequences of the input HOA representation (cn(k−1)) in lower positions and second HOA coefficient sequences (cAMB,n(k−1)) in remaining higher positions. The second HOA coefficient sequences are part of an HOA representation of a residual between the input HOA representation and the HOA representation of the predominant sound signals.

    Methods and apparatus for decoding a compressed HOA signal

    公开(公告)号:US10679634B2

    公开(公告)日:2020-06-09

    申请号:US16186765

    申请日:2018-11-12

    Abstract: Methods and apparatus for decoding a compressed Higher Order Ambisonics (HOA) representation of a sound or soundfield. The method may include receiving a bit stream containing the compressed HOA representation and decoding, based on a determination that there are multiple layers, the compressed HOA representation from the bitstream to obtain a sequence of decoded HOA representations. A first subset of the sequence of decoded HOA representations is determined based only on corresponding ambient HOA components. A second subset of the sequence of decoded HOA representations is determined based on corresponding ambient HOA components and corresponding predominant sound components. For a frame k, the sequence of decoded HOA representations are represented at least in part by c ^ ~ n ⁡ ( k - 1 ) = { c ^ AMB , n ⁡ ( k - 1 ) for ⁢ ⁢ n ⁢ ⁢ in ⁢ ⁢ the ⁢ ⁢ first ⁢ ⁢ subset c ^ n ⁡ ( k - 1 ) = c ^ PS , n ⁡ ( k - 1 ) + c ^ AMB , n ⁡ ( k - 1 ) , for ⁢ ⁢ n ⁢ ⁢ in ⁢ ⁢ the ⁢ ⁢ second ⁢ ⁢ subset where ĉAMB,n(k−1) corresponds to the corresponding ambient HOA components and ĉPS,n(k−1) corresponds to the corresponding predominant sound components.

    Method for frame-wise combined decoding and rendering of a compressed HOA signal and apparatus for frame-wise combined decoding and rendering of a compressed HOA signal

    公开(公告)号:US10257632B2

    公开(公告)日:2019-04-09

    申请号:US15751255

    申请日:2016-03-01

    Abstract: Higher Order Ambisonics (HOA) signals can be compressed by decomposition into a predominant sound component and a residual ambient component. The compressed representation comprises pre-dominant sound signals, coefficient sequences of the ambient component and side information. For efficiently combining HOA decompression and HOA rendering to obtain loudspeaker signals, combined rendering and decoding of the compressed HOA signal comprises perceptually decoding the perceptually coded portion and decoding the side information, without reconstructing HOA coefficient sequences. For reconstructing components of a first type, fading of coefficient sequences is not required, while for components of a second type fading is required. For each second type component, different linear operations are determined: one for coefficient sequences that in a current frame require no fading, one for those that require fading-in, and one for those that require fading-out. From the perceptually decoded signals of each second type component, faded-in and faded-out versions are generated, to which the respective linear operations are applied.

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