Method and device for applying dynamic range compression to a higher order ambisonics signal
First Claim
1. A method for dynamic range compression (DRC), the method comprising:
- receiving a reconstructed Higher Order Ambisonics (HOA) audio signal representation;
transforming the reconstructed HOA audio signal into a spatial domain based on;
WDSHT=DDSHTC wherein DDSHT corresponds to an inverse Discrete Spherical Harmonics Transform (DSHT) matrix, wherein C corresponds to a block of τ
HOA samples, wherein W corresponds to a block of spatial samples matching an input time granularity of a Quadrature Mirror Filter (QMF) bank; and
applying a DRC gain value g(n, m) corresponding to a time frequency tile (n, m) based on;
w̆
DRC(n,m)=diag(g(n,m))ŵ
DSHT(n,m),wherein ŵ
DSHT (n, m) is a vector of spatial channels for the time frequency tile (n, m), and wherein the DSHT matrix is based on a prototype matrix D̆
2 and a row-vector e.
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Abstract
A method for performing DRC on a HOA signal comprises transforming the HOA signal to the spatial domain, analyzing the transformed HOA signal, and obtaining, from results of said analyzing, gain factors that are usable for dynamic compression. The gain factors can be transmitted together with the HOA signal. When applying the DRC, the HOA signal is transformed to the spatial domain, the gain factors are extracted and multiplied with the transformed HOA signal in the spatial domain, wherein a gain compensated transformed HOA signal is obtained. The gain compensated transformed HOA signal is transformed back into the HOA domain, wherein a gain compensated HOA signal is obtained. The DRC may be applied in the QMF-filter bank domain.
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Citations
5 Claims
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1. A method for dynamic range compression (DRC), the method comprising:
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receiving a reconstructed Higher Order Ambisonics (HOA) audio signal representation; transforming the reconstructed HOA audio signal into a spatial domain based on;
WDSHT=DDSHTCwherein DDSHT corresponds to an inverse Discrete Spherical Harmonics Transform (DSHT) matrix, wherein C corresponds to a block of τ
HOA samples, wherein W corresponds to a block of spatial samples matching an input time granularity of a Quadrature Mirror Filter (QMF) bank; andapplying a DRC gain value g(n, m) corresponding to a time frequency tile (n, m) based on;
w̆
DRC(n,m)=diag(g(n,m))ŵ
DSHT(n,m),wherein ŵ
DSHT (n, m) is a vector of spatial channels for the time frequency tile (n, m), and wherein the DSHT matrix is based on a prototype matrix D̆
2 and a row-vector e. - View Dependent Claims (2, 3)
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4. An apparatus for dynamic range compression (DRC), the apparatus comprising:
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a receiver for receiving a reconstructed Higher Order Ambisonics (HOA) audio signal representation; an audio decoder configured to; transform the reconstructed HOA audio signal into a spatial domain based on;
Ψ
DSHT=DDSHTCwherein DDSHT corresponds to an inverse Discrete Spherical Harmonics Transform (DSHT) matrix, wherein C corresponds to a block of τ
HOA samples, and wherein W corresponds to a block of spatial samples matching an input time granularity of a Quadrature Mirror Filter (QMF) bank; andapply a DRC gain value g(n, m) corresponding to a time frequency tile (n, m) based on;
w̆
DRC(n,m)=diag(g(n,m))ŵ
DSHT(n,m),wherein ŵ
DSHT(n, m) is a vector of spatial channels for the time frequency tile (n, m), and wherein the DSHT matrix is based on a prototype matrix D̆
2 and a row-vector e. - View Dependent Claims (5)
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Specification