WO2015144674A1 - Method and device for applying dynamic range compression to a higher order ambisonics signal - Google Patents

Method and device for applying dynamic range compression to a higher order ambisonics signal Download PDF

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Publication number
WO2015144674A1
WO2015144674A1 PCT/EP2015/056206 EP2015056206W WO2015144674A1 WO 2015144674 A1 WO2015144674 A1 WO 2015144674A1 EP 2015056206 W EP2015056206 W EP 2015056206W WO 2015144674 A1 WO2015144674 A1 WO 2015144674A1
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Prior art keywords
hoa
hoa signal
gain
signal
transformed
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PCT/EP2015/056206
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English (en)
French (fr)
Inventor
Johannes Boehm
Florian Keiler
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Thomson Licensing SAS
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Thomson Licensing SAS
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Priority claimed from EP14305559.8A external-priority patent/EP2934025A1/en
Priority to KR1020257029249A priority Critical patent/KR20250135345A/ko
Priority to US15/127,775 priority patent/US9936321B2/en
Priority to CN202311083699.8A priority patent/CN117133298A/zh
Priority to EP15711759.9A priority patent/EP3123746B1/en
Priority to CA2946916A priority patent/CA2946916C/en
Priority to CN201811253730.7A priority patent/CN109036441B/zh
Priority to CN201580015764.0A priority patent/CN106165451B/zh
Priority to UAA201610606A priority patent/UA119765C2/uk
Priority to CN201811253721.8A priority patent/CN108962266B/zh
Priority to CN201811253713.3A priority patent/CN109285553B/zh
Priority to BR112016022008-0A priority patent/BR112016022008B1/pt
Priority to EP18173707.3A priority patent/EP3451706B1/en
Priority to EP23192252.7A priority patent/EP4273857A3/en
Priority to KR1020237037213A priority patent/KR102856071B1/ko
Priority to KR1020167026390A priority patent/KR102005298B1/ko
Priority to CN201811253716.7A priority patent/CN109087653B/zh
Priority to AU2015238448A priority patent/AU2015238448B2/en
Priority to CN202311083155.1A priority patent/CN117153172A/zh
Priority to JP2016558102A priority patent/JP6246948B2/ja
Priority to KR1020217000212A priority patent/KR102479741B1/ko
Priority to BR122020014764-4A priority patent/BR122020014764B1/pt
Priority to BR122018005665-7A priority patent/BR122018005665B1/pt
Application filed by Thomson Licensing SAS filed Critical Thomson Licensing SAS
Priority to CN201811253717.1A priority patent/CN109087654B/zh
Priority to BR122020020719-1A priority patent/BR122020020719B1/pt
Priority to KR1020227044220A priority patent/KR102596944B1/ko
Priority to KR1020197021732A priority patent/KR102201027B1/ko
Priority to RU2016141386A priority patent/RU2658888C2/ru
Priority to BR122020020730-2A priority patent/BR122020020730B1/pt
Publication of WO2015144674A1 publication Critical patent/WO2015144674A1/en
Anticipated expiration legal-status Critical
Priority to US15/891,326 priority patent/US10362424B2/en
Priority to US16/457,135 priority patent/US10567899B2/en
Priority to AU2019205998A priority patent/AU2019205998B2/en
Priority to US16/660,626 priority patent/US10638244B2/en
Priority to US16/857,093 priority patent/US10893372B2/en
Priority to US17/144,325 priority patent/US11838738B2/en
Priority to AU2021204754A priority patent/AU2021204754B2/en
Priority to AU2023201911A priority patent/AU2023201911B2/en
Priority to US18/505,494 priority patent/US12273696B2/en
Priority to AU2024216344A priority patent/AU2024216344B2/en
Priority to AU2024227470A priority patent/AU2024227470A1/en
Priority to US19/171,910 priority patent/US20250267415A1/en
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S3/00—Systems employing more than two channels, e.g. quadraphonic
    • H04S3/008—Systems employing more than two channels, e.g. quadraphonic in which the audio signals are in digital form, i.e. employing more than two discrete digital channels
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/008—Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R5/00—Stereophonic arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S3/00—Systems employing more than two channels, e.g. quadraphonic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S3/00—Systems employing more than two channels, e.g. quadraphonic
    • H04S3/02—Systems employing more than two channels, e.g. quadraphonic of the matrix type, i.e. in which input signals are combined algebraically, e.g. after having been phase shifted with respect to each other
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S2420/00—Techniques used stereophonic systems covered by H04S but not provided for in its groups
    • H04S2420/01—Enhancing the perception of the sound image or of the spatial distribution using head related transfer functions [HRTF's] or equivalents thereof, e.g. interaural time difference [ITD] or interaural level difference [ILD]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S2420/00—Techniques used stereophonic systems covered by H04S but not provided for in its groups
    • H04S2420/11—Application of ambisonics in stereophonic audio systems

Definitions

  • This invention relates to a method and a device for performing Dynamic Range
  • DRC Dynamic Range Compression
  • a common concept for streaming or broadcasting Audio is to generate the DRC gains before transmission and apply these gains after receiving and decoding.
  • the principle of using DRC ie. how DRC is usually applied to an audio signal, is shown in Fig.1 a).
  • the signal level usually the signal envelope, is detected, and a related time-varying gain g DRC is computed.
  • the gain is used to change the amplitude of the audio signal.
  • Fig.1 b) shows the principle of using DRC for encoding/decoding, wherein gain factors are transmitted together with the coded audio signal. On the decoder side, the gains are applied to the decoded audio signal in order to reduce its dynamic range.
  • HOA Higher Order Ambisonics
  • the present invention solves at least the problem of how DRC can be applied to HOA signals.
  • a HOA signal is analyzed in order to obtain one or more gain coefficients.
  • at least two gain coefficients are obtained, and the analysis of the HOA signal comprises a transformation into the spatial domain (iDSHT).
  • the one or more gain coefficients are transmitted together with the original HOA signal.
  • a special indication can be transmitted to indicate if all gain coefficients are equal. This is the case in a so-called simplified mode, whereas at least two different gain coefficients are used in a non- simplified mode.
  • the one or more gains can (but need not) be applied to the HOA signal. The user has a choice whether or not to apply the one or more gains.
  • An advantage of the simplified mode is that it requires considerably less computations, since only one gain factor is used, and since the gain factor can be applied to the coefficient channels of the HOA signal directly in the HOA domain, so that the transform into the spatial domain and subsequent transform back into the HOA domain can be skipped.
  • the gain factor is obtained by analysis of only the zeroth order coefficient channel of the HOA signal.
  • a method for performing DRC on a HOA signal comprises transforming the HOA signal to the spatial domain (by an inverse DSHT), analyzing the transformed HOA signal and obtaining, from results of said analyzing, gain factors that are usable for dynamic range compression.
  • the obtained gain factors are multiplied (in the spatial domain) with the transformed HOA signal, wherein a gain compressed transformed HOA signal is obtained.
  • the gain compressed transformed HOA signal is transformed back into the HOA domain (by a DSHT), i.e. coefficient domain, wherein a gain compressed HOA signal is obtained.
  • a method for performing DRC in a simplified mode on a HOA signal comprises analyzing the HOA signal and obtaining from results of said analyzing a gain factor that is usable for dynamic range compression.
  • the obtained gain factor is multiplied with coefficient channels of the HOA signal (in the HOA domain), wherein a gain compressed HOA signal is obtained.
  • the indication to indicate simplified mode i.e. that only one gain factor is used, can be set implicitly, e.g. if only simplified mode can be used due to hardware or other restrictions, or explicitly, e.g. upon user selection of either simplified or non-simplified mode.
  • a method for applying DRC gain factors to a HOA signal comprises receiving a HOA signal, an indication and gain factors, determining that the indication indicates non-simplified mode, transforming the HOA signal into the spatial domain (using an inverse DSHT), wherein a transformed HOA signal is obtained, multiplying the gain factors with the transformed HOA signal, wherein a dynamic range compressed transformed HOA signal is obtained, and transforming the dynamic range compressed transformed HOA signal back into the HOA domain (i.e. coefficient domain) (using a DSHT), wherein a dynamic range compressed HOA signal is obtained.
  • the gain factors can be received together with the HOA signal or separately.
  • a method for applying a DRC gain factor to a HOA signal comprises receiving a HOA signal, an indication and a gain factor, determining that the indication indicates simplified mode, and upon said determining multiplying the gain factor with the HOA signal, wherein a dynamic range compressed HOA signal is obtained.
  • the gain factors can be received together with the HOA signal or separately.
  • a device for applying DRC gain factors to a HOA signal is disclosed in claim 1 1 .
  • the invention provides a computer readable medium having executable instructions to cause a computer to perform a method for applying DRC gain factors to a HOA signal, comprising steps as described above.
  • the invention provides a computer readable medium having executable instructions to cause a computer to perform a method for performing DRC on a HOA signal, comprising steps as described above.
  • Advantageous embodiments of the invention are disclosed in the dependent claims, the following description and the figures.
  • Fig.1 the general principle of DRC applied to audio
  • Fig.2 a general approach for applying DRC to HOA based signals according to the
  • Fig.2 depicts the principle of the approach.
  • HOA signals are analyzed, DRC gains g are calculated from the analysis of the HOA signal, and the DRC gains are coded and transmitted along with a coded representation of the HOA content. This may be a multiplexed bitstream or two or more separate bitstreams.
  • the gains g are extracted from such bitstream or bitstreams.
  • the gains g are applied to the HOA signal as described below.
  • the gains are applied to the HOA signal, i.e. in general a dynamic range reduced HOA signal is obtained.
  • the dynamic range adjusted HOA signal is rendered in a HOA renderer.
  • Spherical Harmonics are used, and the energy of a single directional signal coded inside the HOA representation is maintained after rendering. It is described e.g. in
  • B e M (w+1)2x ⁇ denotes a block of ⁇ HOA samples
  • B [b(X), b ⁇ 2), . . , b(t), . . , b ]
  • vector b(t) [b ⁇ b 2 , ... b 0 , ... b ⁇ N+1 y]
  • N denotes the HOA truncation order.
  • the number of higher order coefficients in b is QV + l) 2 .
  • the sample index for one block of data is t. ⁇ may range from usually one sample to 64 samples or more.
  • the zeroth order signal & 0 bi(2), ... , b ⁇ ⁇ )] is the first row of B.
  • D L is well-conditioned and its inverse Di 1 exists.
  • the virtual speaker positions sample spatial areas surrounding a virtual listener.
  • the sampling positions, D L , Dl 1 are known at the encoder side when the DRC gains are created. At the decoder side, D L and D 1 need to be known for applying the gain values.
  • AO signals such as e.g. dialog tracks may be used for side chaining. This is shown in Fig.4 b).
  • a single gain may be assigned to all L channels, in the simplest case (so-called simplified mode).
  • Fig.4a This can be done by analyzing all spatial signals W, or by analyzing the zeroth order HOA coefficient sample block ( ⁇ 0 ), and the transformation to the spatial domain is not needed (Fig.4a). The latter is identical to analyzing the downmix signal of W. Further details are given below.
  • creation of DRC gains for HOA is shown.
  • Fig.4 a) depicts how a single gain g-i (for a single gain group) can be derived from the zeroth HOA order component #-oeuvre (optional with side chaining from AOs).
  • the zeroth HOA order component & 0 is analyzed in a DRC Analysis block 41 s and the single gain g- ⁇ is derived.
  • the single gain g- ⁇ is separately encoded in a DRC Gain Encoder 42s.
  • the encoded gain is then encoded together with the HOA signal B in an encoder 43, which outputs an encoded bitstream.
  • further signals 44 can be included in the encoding.
  • Fig.4 b) depicts how two or more DRC gains are created by transforming 40 the HOA representation into a spatial domain.
  • the transformed HOA signal W L is then analyzed in a DRC Analysis block 41 and gain values g are extracted and encoded in a DRC Gain Encoder 42.
  • the encoded gain is encoded together with the HOA signal B in an encoder 43, and optionally further signals 44 can be included in the encoding.
  • sounds from the back e.g.
  • Gain values can be assigned to channel groups for transmission. In an embodiment, all equal gains are combined in one channel group to minimize transmission data. If a single gain is transmitted, it is related to all L L channels. Transmitted are the channel groups gain values g x and their number. The usage of channel groups is signaled, so that the receiver or decoder can apply the gain values correctly.
  • the gain values are applied as follows.
  • the loudspeaker signals with the DRC gains applied are computed by
  • the gain vector is transformed 53 to the HOA domain by:
  • Fig.5 shows various embodiments of applying DRC to HOA signals.
  • a single channel group gain is transmitted and decoded 51 and applied directly onto the HOA coefficients 52.
  • the HOA coefficients are rendered 56 using a normal rendering matrix.
  • Fig. 5 b more than one channel group gains are transmitted and decoded 51.
  • the decoding results in a gain vector g of QV + l) 2 gain values.
  • a gain matrix G is created and applied 54 to a block of HOA samples. These are then rendered 56 by using a normal rendering matrix.
  • Fig. 5 c instead of applying the decoded gain matrix/gain value to the HOA signal directly, it is applied directly onto the Tenderer's matrix. This is performed in the Renderer matrix modification block 57, and it is computationally beneficial if the DRC block size ⁇ is larger than the number of output channels I.
  • the HOA samples are rendered 57 by using a modified rendering matrix.
  • DSHT Discrete Spherical Harmonics Transform
  • Such DSHT matrices are particularly optimized for usage in DRC and are different from DSHT matrices used for other purpose, e.g. data rate compression.
  • the requirements for the ideal rendering and encoding matrices D L and D 1 related to an ideal spherical layout are derived below. Finally, these requirements are the following:
  • a first prototype rendering matrix D L is derived by
  • k denotes the matrix norm type.
  • analyzing the sum signal in spatial domain is equal to analyzing the zeroth order HOA component.
  • DRC analyzers use the signals' energy as well as its amplitude.
  • the sum signal is related to amplitude and energy.
  • l s is a vector assembled out of S elements with a value of 1 .
  • VV T 1 can be achieved for i > QV + l) 2 and only be approximated for L ⁇ QV + 1) 2 .
  • DRC gain application can be realized in at least two ways for flexible rendering.
  • Fig.6 shows exemplarily Dynamic Range Compression (DRC) processing at the decoder side.
  • DRC Dynamic Range Compression
  • Fig.6 a DRC is applied before rendering and mixing.
  • Fig.6 b DRC is applied to the loudspeaker signals, i.e. after rendering and mixing.
  • DRC gains are applied to Audio Objects and HOA separately: DRC gains are applied to Audio Objects in an Audio Object DRC block 610, and DRC gains are applied to HOA in a HOA DRC block 615.
  • the realization of the block HOA DRC block 615 matches one of those in Fig.5.
  • a single gain is applied to all channels of the mixture signal of the rendered HOA and rendered Audio Object signal.
  • no spatial emphasis and attenuation is possible.
  • the related DRC gain cannot be created by analyzing the sum signal of the rendered mix, because the speaker layout of the consumer site is not known at the time of creation at the broadcast or content creation site.
  • the DRC gain can be derived analyzing y m e iX T where y m is a mix of the zeroth order HOA signal b w and the mono downmix of S Audio Objects x s :
  • DRC is applied to the HOA signal before rendering, or may be combined with rendering.
  • DRC for HOA can be applied in the time domain or in the QMF-filter bank domain.
  • N is the HOA order.
  • DRC gains are applied to the HOA signals according to:
  • c is a vector of one time sample of HOA coefficients (c e ]R( w+1 ) 2x and
  • D L e i > ( w+1 ) 2x ( w+1 ) 2 and its inverse D 1 are matrices related to a Discrete Spherical Harmonics Transform (DSHT) optimized for DRC purposes.
  • DSHT Discrete Spherical Harmonics Transform
  • w drc (Z) O ⁇ 1 ) (diag(g drc )D L ) c, where D is the rendering matrix and (D D ⁇ 1 ) can be pre-computed.
  • D L is renamed to D DS HT-
  • the matrices to determine the spatial filter D DSHT and its inverse D ⁇ HT are calculated as follows:
  • the predefined direction depends on the HOA order N, according to Tab.1 -6 (exemplarily for
  • D 1 USV T and a new prototype matrix is calculated by:
  • D 2 UV .
  • a row-vector e is calculated by
  • the DRC decoder provides a gain value g C h n l 'm for every time frequency tile n, m for QV + l) 2 spatial channels.
  • the gains for time slot n and frequency band m are arranged in flf(n, m) e M (iV+1)2x l .
  • Multiband DRC is applied in the QMF Filter bank domain.
  • the processing steps are shown in Fig.7.
  • the reconstructed HOA signal is transformed into the spatial domain by (inverse DSHT):
  • W DSHT D DSHT C , where Ce ( ⁇ +1)2 ⁇ ⁇ is a block of ⁇ HOA samples and W DSHT e ⁇ 3 ⁇ 4 ( ' ⁇ + 1)2 ⁇ ⁇ is a block of spatial samples matching the input time granularity of the QMF filter bank.
  • the QMF analysis filter bank is applied.
  • Let w DSHT (n, m) e (c (w+1)2x 1 denote a vector of spatial channels per time frequency tile (n, m).
  • w(n, m) D w DRC (n, rn), where D denotes the HOA rendering matrix.
  • D denotes the HOA rendering matrix.
  • Fig.7 shows DRC for HOA in the QMF domain combined with a rendering step.
  • the gains in vector g(n, m) all share the same value of g DRC (n, m).
  • the QMF filter bank can be directly applied to the HOA signal and the gain g DRC (n, m) can be multiplied in filter bank domain.
  • Fig.8 shows DRC for HOA in the QMF domain (a filter domain of a Quadrature Mirror Filter) combined with a rendering step, with computational simplifications for the simple case of a single DRC gain group.
  • the invention relates to a method for applying Dynamic Range Compression gain factors to a HOA signal, the method comprising steps of receiving a HOA signal and one or more gain factors, transforming 40 the HOA signal into the spatial domain, wherein an iDSHT is used with a transform matrix obtained from spherical positions of virtual loudspeakers and quadrature gains q, and wherein a transformed HOA signal is obtained, multiplying the gain factors with the transformed HOA signal, wherein a dynamic range compressed transformed HOA signal is obtained, and transforming the dynamic range compressed transformed HOA signal back into the HOA domain being a coefficient domain and using a Discrete Spherical Harmonics Transform (DSHT), wherein a dynamic range compressed HOA signal is obtained.
  • DSHT Discrete Spherical Harmonics Transform
  • the invention relates to a device for applying DRC gain factors to a HOA signal, the device comprising a processor or one or more processing elements adapted for receiving a HOA signal and one or more gain factors, transforming 40 the HOA signal into the spatial domain, wherein an iDSHT is used with a transform matrix obtained from spherical positions of virtual loudspeakers and quadrature gains q, and wherein a transformed HOA signal is obtained, multiplying the gain factors with the transformed HOA signal, wherein a dynamic range compressed transformed HOA signal is obtained, and transforming the dynamic range compressed transformed HOA signal back into the HOA domain being a coefficient domain and using a Discrete Spherical Harmonics Transform (DSHT), wherein a dynamic range compressed HOA signal is obtained.
  • the transform matrix is computed according to
  • the invention relates to a computer readable storage medium having computer executable instructions that when executed on a computer cause the computer to perform a method for applying Dynamic Range Compression gain factors to a Higher Order Ambisonics (HOA) signal, the method comprising receiving a HOA signal and one or more gain factors, transforming 40 the HOA signal into the spatial domain, wherein an iDSHT is used with a transform matrix obtained from spherical positions of virtual loudspeakers and quadrature gains q, and wherein a transformed HOA signal is obtained, multiplying the gain factors with the transformed HOA signal, wherein a dynamic range compressed transformed HOA signal is obtained, and transforming the dynamic range compressed transformed HOA signal back into the HOA domain being a coefficient domain and using a Discrete Spherical Harmonics Transform (DSHT), wherein a dynamic range compressed HOA signal is obtained.
  • DSHT Discrete Spherical Harmonics Transform
  • the invention relates to a method for performing DRC on a HOA signal, the method comprising steps of setting or determining a mode, the mode being either a simplified mode or a non-simplified mode, in the non-simplified mode, transforming the HOA signal to the spatial domain, wherein an inverse DSHT is used, in the non-simplified mode, analyzing the transformed HOA signal, and in the simplified mode, analyzing the HOA signal, obtaining, from results of said analyzing, one or more gain factors that are usable for dynamic range compression, wherein only one gain factor is obtained in the simplified mode and wherein two or more different gain factors are obtained in the non-simplified mode, in the simplified mode multiplying the obtained gain factor with the HOA signal, wherein a gain compressed HOA signal is obtained, in the non-simplified mode, multiplying the obtained gain factors with the transformed HOA signal, wherein a gain compressed transformed HOA signal is obtained, and transforming the gain compressed transformed HOA signal back into the HOA domain, wherein
  • the method further comprises steps of receiving an indication indicating either a simplified mode or a non-simplified mode, selecting a non-simplified mode if said indication indicates non-simplified mode, and selecting a simplified mode if said indication indicates simplified mode, wherein the steps of transforming the HOA signal into the spatial domain and transforming the dynamic range compressed transformed HOA signal back into the HOA domain are performed only in the non- simplified mode, and wherein in the simplified mode only one gain factor is multiplied with the HOA signal.
  • the method further comprises steps of, in the simplified mode analyzing the HOA signal, and in the non-simplified mode analyzing the transformed HOA signal, then obtaining, from results of said analyzing, one or more gain factors that are usable for dynamic range compression, wherein in the non-simplified mode two or more different gain factors are obtained and in the simplified mode only one gain factor is obtained, wherein in the simplified mode a gain compressed HOA signal is obtained by said multiplying the obtained gain factor with the HOA signal, and wherein in the non- simplified mode said gain compressed transformed HOA signal is obtained by multiplying the obtained two or more gain factors with the transformed HOA signal, and wherein in the non-simplified mode said transforming the HOA signal to the spatial domain uses an inverse DSHT.
  • the HOA signal is divided into frequency subbands, and the gain factor(s) is (are) obtained and applied to each frequency subband separately, with individual gains per subband.
  • the steps of analyzing the HOA signal (or transformed HOA signal), obtaining one or more gain factors, multiplying the obtained gain factor(s) with the HOA signal (or transformed HOA signal), and transforming the gain compressed transformed HOA signal back into the HOA domain are applied to each frequency subband separately, with individual gains per subband.
  • sequential order of dividing the HOA signal into frequency subbands and transforming the HOA signal to the spatial domain can be swapped, and/or the sequential order of synthesizing the subbands and transforming the gain compressed transformed HOA signals back into the HOA domain can be swapped, independently from each other.
  • the method further comprises, before the step of multiplying the gain factors, a step of transmitting the transformed HOA signal together with the obtained gain factors and the number of these gain factors.
  • the predefined direction depends on a HOA order N.
  • the invention relates to a method for applying DRC gain factors to a HOA signal, the method comprising steps of receiving a HOA signal together with an indication and one or more gain factors, the indication indicating either a simplified mode or a non-simplified mode, wherein only one gain factor is received if the indication indicates the simplified mode, selecting either a simplified mode or a non-simplified mode according to said indication, in the simplified mode multiplying the gain factor with the HOA signal, wherein a dynamic range compressed HOA signal is obtained, and in the non-simplified mode transforming the HOA signal into the spatial domain, wherein a transformed HOA signal is obtained, multiplying the gain factors with the transformed HOA signals, wherein dynamic range compressed transformed HOA signals are obtained, and transforming the dynamic range compressed transformed HOA signals back into the HOA domain, wherein a dynamic range compressed HOA signal is obtained.
  • the invention relates to a device for performing DRC on a HOA signal, the device comprising a processor or one or more processing elements adapted for setting or determining a mode, the mode being either a simplified mode or a non-simplified mode, in the non-simplified mode transforming the HOA signal to the spatial domain, wherein an inverse DSHT is used, in the non-simplified mode analyzing the transformed HOA signal, while in the simplified mode analyzing the HOA signal, obtaining, from results of said analyzing, one or more gain factors that are usable for dynamic range compression, wherein only one gain factor is obtained in the simplified mode and wherein two or more different gain factors are obtained in the non-simplified mode, in the simplified mode multiplying the obtained gain factor with the HOA signal, wherein a gain compressed HOA signal is obtained, and in the non-simplified mode multiplying the obtained gain factors with the transformed HOA signal, wherein a gain compressed transformed HOA signal is obtained, and transforming the gain compressed transformed HOA signal back into
  • a device for performing DRC on a HOA signal comprises a processor or one or more processing elements adapted for transforming the HOA signal to the spatial domain, analyzing the transformed HOA signal, obtaining, from results of said analyzing, gain factors that are usable for dynamic range compression, multiplying the obtained factors with the transformed HOA signals, wherein gain compressed transformed HOA signals are obtained, and transforming the gain compressed transformed HOA signals back into the HOA domain, wherein gain compressed HOA signals are obtained.
  • the device further comprises a transmission unit for transmitting, before multiplying the obtained gain factor or gain factors, the HOA signal together with the obtained gain factor or gain factors.
  • the sequential order of dividing the HOA signal into frequency subbands and transforming the HOA signal to the spatial domain can be swapped, and the sequential order of synthesizing the subbands and transforming the gain compressed transformed HOA signals back into the HOA domain can be swapped, independently from each other.
  • the invention relates to a device for applying DRC gain factors to a HOA signal
  • the device comprising a processor or one or more processing elements adapted for receiving a HOA signal together with an indication and one or more gain factors, the indication indicating either a simplified mode or a non-simplified mode, wherein only one gain factor is received if the indication indicates the simplified mode, setting the device to either a simplified mode or a non-simplified mode, according to said indication, in the simplified mode, multiplying the gain factor with the HOA signal, wherein a dynamic range compressed HOA signal is obtained; and in the non-simplified mode, transforming the HOA signal into the spatial domain, wherein a transformed HOA signal is obtained, multiplying the gain factors with the transformed HOA signals, wherein dynamic range compressed transformed HOA signals are obtained, and transforming the dynamic range compressed transformed HOA signals back into the HOA domain, wherein a dynamic range compressed HOA signal is obtained.
  • the device further comprises a transmission unit for transmitting, before multiplying the obtained factors, the HOA signals together with the obtained gain factors.
  • the HOA signal is divided into frequency subbands, and the analyzing the transformed HOA signal, obtaining gain factors, multiplying the obtained factors with the transformed HOA signals and transforming the gain compressed transformed HOA signals back into the HOA domain are applied to each frequency subband separately, with individual gains per subband.
  • the HOA signal is divided into a plurality of frequency subbands, and obtaining one or more gain factors, multiplying the obtained gain factors with the HOA signals or the transformed HOA signals, and in the non-simplified mode transforming the gain compressed transformed HOA signals back into the HOA domain are applied to each frequency subband separately, with individual gains per subband.
  • the invention relates to a device for applying DRC gain factors to a HOA signal, the device comprising a processor or one or more processing elements adapted for receiving a HOA signal together with gain factors, transforming the HOA signal into the spatial domain (using iDSHT), wherein a transformed HOA signal is obtained, multiplying the gain factors with the transformed HOA signal, wherein a dynamic range compressed transformed HOA signal is obtained, and transforming the dynamic range compressed transformed HOA signal back into the HOA domain (i.e. coefficient domain) (using DSHT), wherein a dynamic range compressed HOA signal is obtained.
  • N 5 Positions 80 2. .42144792 0. .00000000 0. .23821175
  • N 6 Positions 2. .81487011 -3. .12843671 0. .25534100

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BR122020020730-2A BR122020020730B1 (pt) 2014-03-24 2015-03-24 Método e dispositivo para aplicação de compressão da gama dinâmica a um sinal ambisonics de ordem superior
US15/127,775 US9936321B2 (en) 2014-03-24 2015-03-24 Method and device for applying dynamic range compression to a higher order ambisonics signal
CN202311083699.8A CN117133298A (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
EP15711759.9A EP3123746B1 (en) 2014-03-24 2015-03-24 Method and device for applying dynamic range compression to a higher order ambisonics signal
CA2946916A CA2946916C (en) 2014-03-24 2015-03-24 Method and device for applying dynamic range compression to a higher order ambisonics signal
CN201811253730.7A CN109036441B (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
CN201580015764.0A CN106165451B (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
UAA201610606A UA119765C2 (uk) 2014-03-24 2015-03-24 Спосіб і пристрій для застосування стиснення динамічного діапазону до сигналу амбіофонії вищого порядку
CN201811253721.8A CN108962266B (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
CN201811253713.3A CN109285553B (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
BR112016022008-0A BR112016022008B1 (pt) 2014-03-24 2015-03-24 Método para compressão de gama dinâmica, aparelho para compressão de gama dinâmica e meio de armazenamento legível por computador não transitório
EP18173707.3A EP3451706B1 (en) 2014-03-24 2015-03-24 Method and device for applying dynamic range compression to a higher order ambisonics signal
EP23192252.7A EP4273857A3 (en) 2014-03-24 2015-03-24 Method and device for applying dynamic range compression to a higher order ambisonics signal
KR1020237037213A KR102856071B1 (ko) 2014-03-24 2015-03-24 고차 앰비소닉스 신호에 동적 범위 압축을 적용하는 방법 및 디바이스
KR1020167026390A KR102005298B1 (ko) 2014-03-24 2015-03-24 고차 앰비소닉스 신호에 동적 범위 압축을 적용하는 방법 및 디바이스
CN201811253716.7A CN109087653B (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
AU2015238448A AU2015238448B2 (en) 2014-03-24 2015-03-24 Method and device for applying Dynamic Range Compression to a Higher Order Ambisonics signal
CN202311083155.1A CN117153172A (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
JP2016558102A JP6246948B2 (ja) 2014-03-24 2015-03-24 高次アンビソニックス信号にダイナミックレンジ圧縮を適用するための方法および装置
KR1020217000212A KR102479741B1 (ko) 2014-03-24 2015-03-24 고차 앰비소닉스 신호에 동적 범위 압축을 적용하는 방법 및 디바이스
BR122018005665-7A BR122018005665B1 (pt) 2014-03-24 2015-03-24 Método e dispositivo para aplicação de compressão da gama dinâmica a um sinal ambisonics de ordem superior
KR1020257029249A KR20250135345A (ko) 2014-03-24 2015-03-24 고차 앰비소닉스 신호에 동적 범위 압축을 적용하는 방법 및 디바이스
BR122020014764-4A BR122020014764B1 (pt) 2014-03-24 2015-03-24 Método e dispositivo para aplicar fatores de ganho de compressão de faixa dinâmica a um sinal ambisonics de ordem superior e meio de armazenamento legível por computador
CN201811253717.1A CN109087654B (zh) 2014-03-24 2015-03-24 对高阶高保真立体声信号应用动态范围压缩的方法和设备
BR122020020719-1A BR122020020719B1 (pt) 2014-03-24 2015-03-24 Método, mídia de armazenamento legível por computador, e aparelho para compressão de gama dinâmica (drc)
KR1020227044220A KR102596944B1 (ko) 2014-03-24 2015-03-24 고차 앰비소닉스 신호에 동적 범위 압축을 적용하는 방법 및 디바이스
KR1020197021732A KR102201027B1 (ko) 2014-03-24 2015-03-24 고차 앰비소닉스 신호에 동적 범위 압축을 적용하는 방법 및 디바이스
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US15/891,326 US10362424B2 (en) 2014-03-24 2018-02-07 Method and device for applying dynamic range compression to a higher order ambisonics signal
US16/457,135 US10567899B2 (en) 2014-03-24 2019-06-28 Method and device for applying dynamic range compression to a higher order ambisonics signal
AU2019205998A AU2019205998B2 (en) 2014-03-24 2019-07-16 Method and device for applying dynamic range compression to a higher order ambisonics signal
US16/660,626 US10638244B2 (en) 2014-03-24 2019-10-22 Method and device for applying dynamic range compression to a higher order ambisonics signal
US16/857,093 US10893372B2 (en) 2014-03-24 2020-04-23 Method and device for applying dynamic range compression to a higher order ambisonics signal
US17/144,325 US11838738B2 (en) 2014-03-24 2021-01-08 Method and device for applying Dynamic Range Compression to a Higher Order Ambisonics signal
AU2021204754A AU2021204754B2 (en) 2014-03-24 2021-07-07 Method and device for applying dynamic range compression to a higher order ambisonics signal
AU2023201911A AU2023201911B2 (en) 2014-03-24 2023-03-29 Method and device for applying dynamic range compression to a higher order ambisonics signal
US18/505,494 US12273696B2 (en) 2014-03-24 2023-11-09 Method and device for applying dynamic range compression to a higher order ambisonics signal
AU2024216344A AU2024216344B2 (en) 2014-03-24 2024-08-26 Method and device for applying dynamic range compression to a higher order ambisonics signal
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