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WO2016030545A2 - Comparaison ou optimisation de signaux sur la base de la covariance d'invariants algébriques - Google Patents

Comparaison ou optimisation de signaux sur la base de la covariance d'invariants algébriques Download PDF

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Publication number
WO2016030545A2
WO2016030545A2 PCT/EP2015/069876 EP2015069876W WO2016030545A2 WO 2016030545 A2 WO2016030545 A2 WO 2016030545A2 EP 2015069876 W EP2015069876 W EP 2015069876W WO 2016030545 A2 WO2016030545 A2 WO 2016030545A2
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Prior art keywords
signal
parameterized
determined
parameter set
window
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German (de)
English (en)
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WO2016030545A3 (fr
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Clemens Par
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S1/00—Two-channel systems
    • H04S1/007—Two-channel systems in which the audio signals are in digital form
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04S—STEREOPHONIC SYSTEMS 
    • H04S2400/00—Details of stereophonic systems covered by H04S but not provided for in its groups
    • H04S2400/03—Aspects of down-mixing multi-channel audio to configurations with lower numbers of playback channels, e.g. 7.1 -> 5.1
    • 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
    • H04S2420/03—Application of parametric coding in stereophonic audio systems

Definitions

  • Gaussian signals whose degrees of freedom are not known are studied according to the prior art on the basis of statistical models.
  • the so-called covariance represents a measure of the similarity.
  • the covariance is defined as
  • WO2012032178 and WO2014072513 are hereby incorporated by reference.
  • the correlation for a measurement series with random variables X and Y with the probability E and the variance var is defined as follows:
  • spatial audio signals for example a stereo signal according to the transfer functions, can be used
  • the first nontrivial conical equation should show the same apolar behavior to the trivial algebraic conic equation (13), namely u 2
  • the invention is not to determine the covariance on the basis of Gaussian signals or samples of Gaussian signals, but to project these Gaussian signals or these samples of Gaussian signals onto the complex plane, and rather the time-varying algebraic invariants of these Gaussian signals or derive the algebraic invariants of these samples from Gaussian signals, and then determine their covariance.
  • the covariance of two signals X and Y or samples of two signals X and Y is examined, but rather the covariance of their non-polar invarian th.
  • the Gaussian signal X or the sample X of a Gaussian signal can be projected onto the complex plane, and the algebraic invariants of this Gaussian signal X occurring over time or the algebraic invariants of the sample X of a Gaussian signal can be derived. Then the function values of the second Gaussian signal Y occurring simultaneously with the particular invariants or the further sample of the Gaussian signals Y are determined, and then their covariance with the first determined invariants. Thus, not the covariance of two signals X and Y or samples of two signals X and Y is examined, but rather the covariance of the apolar invariants of the signal X and the function values of the signal Y.
  • FIG. 3 shows the non-trivial case of a first algebraic cone that is apolary to FIG. 1 and intersects the complex plane.
  • Fig. 7 shows the parameters of the inverse coding according to ECMA-407 ("Table 3").
  • Fig. 10 shows a NHK-22.2 loudspeaker arrangement.
  • FIG. 13 shows a multichannel upmix (in particular 3D upmix) on the basis of a measurement series database.
  • FIG. 16 shows the application of FIG. 15 for an ECMA
  • FIGS. 5 and 6 cite ECMA-407 (there “ Figure 1" and “ Figure 2") and show the schematic structure of an ECMA-407 S5 encoder and ECMA-407 S5 decoder:
  • An audio signal (“f-channel audio source”, see (51)) is supplied to an S5 base encoder ("Base S5 encoder”, see (52)), which performs signal analysis (see (53)
  • the parameters ("Inverse Coding parameter data”, see (55) and (65)) for the subsequent inverse coding ("") are output and the downmix (see (54)).
  • S5 upmix see (63)) in the S5 base decoder (" Base S5 decoder ", see (62)) as well as the downmix (“ g-channel audio downmix (g ⁇ f) ", see (56) resp (66)).
  • S5Directivity is first set equal to zero.
  • S5Incidence is first set equal to zero.
  • S5Alpha is first set equal to n / 2.
  • S5Beta is first set equal to n / 2.
  • S5Scale is first set equal to 100ms.
  • S5Side is first set equal to 0.05.
  • the parameters S5Incidence, S5Alpha, S5Beta S5Side and S5Swap of the inverse coding are optimized.
  • the parameter S5Scale is then optimized, starting with the value 29ms.
  • the parameter S5Directivity is then optimized, starting with the value 0.
  • the parameter S5Side is again optimized in order to achieve for the resulting inverse coded signal those sample correlation coefficients or those short-term cross-correlation which is as equal as possible to the sample correlation coefficient or the short-term cross-correlation of the associated original signal pair:
  • Correlation coefficient or determined on the basis of the short-term cross-correlation degree of correlation of that of the original signal sufficiently close or new 1 falls below a predetermined limit.
  • the flow of one possible embodiment of the signal analysis (53) for ECMA-407 is shown in the flowchart of Figure 9 as well as the arrangement of Figure 16.
  • the steps for one of the successive windows include, for example, 512 samples at a sampling rate of 48kHz for every two adjacent channels of the original signal:
  • Original signal for the window of, for example, 512 samples and, for example, the following 7680 samples (in order to be able to calculate all delays for the inverse coding of the downmix signal), the determination of the function values of the transfer functions (6.), (7.) and (8.) the two channels of the inverse coded Signal and their commutation for all possible parameter variations of S5Incidence, S5Alpha, S5Beta, S5Side, and the optimization of these inverse encoding parameters including S5Swap in terms of the sample covariance of these function values and the apolar invariants of 2.,
  • a highly complex 3D loudspeaker format such as NHK 22.2, see FIG. 10, can be calculated in terms of its inverse encoding in real time, for example according to WO2014072513.
  • discrete time signals X and Y are available for the determination by means of the transfer functions (6), (7) for the determination of the described algebraic invariants, all of which lie on the diagonal passing through the origin of the first and third quadrants of the complex number plane .) and (8.) are available.
  • the algorithm can be obtained by considering only those pairs of successive samples (for example, the pairs S_ 3 , Sj_ 2 and Sj_ 2 r Sj-i in FIG. 11), whose distance - in functional dependence on the energy spectrum of the transfer function (6). resulting signal - the shortest distance of its first sample from the going through the origin diagonal of the first and third quadrant, respectively, significantly accelerate.
  • the parameters of the inverse coding can alternatively be calculated by a weighting of S5Alpha and S5Beta as well as of S5Side on the basis of the following dichotomy:
  • the maximum length for a "fade” usually corresponds to the latency of the entire system (for example, around 900 ms, if a loudness measurement is carried out in the encoder and / or decoder, etc.)
  • This procedure can optionally be extended to any selection of adjacent channels of the original signal, in order to determine the best measurement series of room impulses or free field measurements on the basis of their semantics (spatiality).
  • an inverse coding with dichotomy can be carried out according to steps 8 to 12, where optionally "optimized parameter set for the corresponding inverse coding” and “inverse coding” by the "Optimal folding xi" are replaced, and in step 11, the steps 1 to 7 through Fig. 13.
  • All described multichannel upmix methods have the advantage that only one or a few signal windows are sufficient in comparison with statistical models in order to determine the best possible multichannel upmix (in particular 3D upmix) with the lowest possible latency. This allows an automatic upmix in real-time applications and thus, for example, the live processing of multi-channel signals generated in the broadcasting operation of a radio or television broadcaster.
  • the correlation can be considered equivalently (for the definition of the correlation, see above). These embodiments are considered included in the subject invention.
  • a parameter set contains at least one parameter for
  • the selected points can be both selected sample points, e.g. the the

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Algebra (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Radar Systems Or Details Thereof (AREA)
  • Complex Calculations (AREA)

Abstract

L'invention concerne un procédé d'analyse d'un premier signal et d'un second signal, qui comprend les étapes consistant à : déterminer des points sélectionnés dans le premier signal sur la base d'invariants du premier signal ; déterminer un paramètre d'analyse de signal sur la base de la covariance des points sélectionnés du premier signal avec le second signal.
PCT/EP2015/069876 2014-08-29 2015-08-31 Comparaison ou optimisation de signaux sur la base de la covariance d'invariants algébriques Ceased WO2016030545A2 (fr)

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CH1311/14 2014-08-29
CH13112014 2014-08-29

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WO2016030545A2 true WO2016030545A2 (fr) 2016-03-03
WO2016030545A3 WO2016030545A3 (fr) 2017-03-16

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3937515A1 (fr) 2020-07-06 2022-01-12 Clemens Par Émetteur électroacoustique à commande d'invariance

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1850639A1 (fr) 2006-04-25 2007-10-31 Clemens Par Système générateur de signaux audio multiples à partir d'au moins un signal audio
WO2009138205A1 (fr) 2008-05-13 2009-11-19 Clemens Par Dispositif dont le fonctionnement dépend de l'angle ou méthode d'acquisition d'un signal audio pseudo-stéréophonique
WO2011009650A1 (fr) 2009-07-22 2011-01-27 Stormingswiss Gmbh Dispositif et procédé permettant d’optimiser des signaux audio stéréophoniques ou pseudo-stéréophoniques
WO2012016992A2 (fr) 2010-08-03 2012-02-09 Stormingswiss Gmbh Dispositif et procédé d'évaluation et d'optimisation de signaux sur la base d'invariantes algébriques
WO2012032178A1 (fr) 2010-09-10 2012-03-15 Stormingswiss Gmbh Dispositif et procédé permettant l'évaluation temporelle et l'optimisation de signaux stéréophoniques ou pseudo-stéréophoniques
WO2014072513A1 (fr) 2012-11-09 2014-05-15 Stormingswiss Sàrl Codage inverse non linéaire de signaux multicanaux

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1850639A1 (fr) 2006-04-25 2007-10-31 Clemens Par Système générateur de signaux audio multiples à partir d'au moins un signal audio
WO2009138205A1 (fr) 2008-05-13 2009-11-19 Clemens Par Dispositif dont le fonctionnement dépend de l'angle ou méthode d'acquisition d'un signal audio pseudo-stéréophonique
WO2011009650A1 (fr) 2009-07-22 2011-01-27 Stormingswiss Gmbh Dispositif et procédé permettant d’optimiser des signaux audio stéréophoniques ou pseudo-stéréophoniques
WO2011009649A1 (fr) 2009-07-22 2011-01-27 Stormingswiss Gmbh Dispositif et procédé d'amélioration de signaux audio stéréophoniques ou pseudo-stéréophoniques
WO2012016992A2 (fr) 2010-08-03 2012-02-09 Stormingswiss Gmbh Dispositif et procédé d'évaluation et d'optimisation de signaux sur la base d'invariantes algébriques
WO2012032178A1 (fr) 2010-09-10 2012-03-15 Stormingswiss Gmbh Dispositif et procédé permettant l'évaluation temporelle et l'optimisation de signaux stéréophoniques ou pseudo-stéréophoniques
WO2014072513A1 (fr) 2012-11-09 2014-05-15 Stormingswiss Sàrl Codage inverse non linéaire de signaux multicanaux

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3937515A1 (fr) 2020-07-06 2022-01-12 Clemens Par Émetteur électroacoustique à commande d'invariance
WO2022008092A1 (fr) 2020-07-06 2022-01-13 Clemens Par Émetteur électroacoustique commandé par invariance
US12167221B2 (en) 2020-07-06 2024-12-10 Clemens Par Invariance-controlled electroacoustic transmitter

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