Method for generating a conversion filter for converting a multidimensional output audio signal into a two-dimensional audio signal for listening
The present invention relates to methods for generating a conversion filter (KF) for converting a multidimensional original audio signal (AA) into a two-dimensional listening audio signal (HA), comprising the following steps: 1 . Transformation of a time-based original audio signal (PAA) into a frequency-based original audio signal (FAA) 2 . Sequential optimization of a basis conversion matrix (BKM) for converting the frequency-based original audio signal (FAA) into a frequency-based listening audio signal (FHA) using a first optimization algorithm (KA 1 ), preferably starting from low frequencies and ascending at least up to a switching frequency (UF) 3 . Sequential optimization of the basis conversion matrix (BKM) for converting the frequency-based original audio signal (FAA) into a frequency-based listening audio signal (FHA) using a second optimization algorithm (KA 2 ), preferably starting from the switching frequency (UF) and ascending to high frequencies 4 . Storing the optimized basis conversion matrix (BKM) of the correlation between the frequency-based original audio signal (FAA) and the frequency-based listening audio signal (FHA) in a frequency-based conversion matrix (FKM) 5 . Transforming the frequency-based conversion matrix (FKM) into a time-based conversion matrix (PKM) as a conversion filter (KF).
1 . A method for generating a conversion filter (KF) for converting a multidimensional original audio signal (AA) into a two-dimensional listening audio signal (HA), comprising the following steps:
transforming a time-based original audio signal (PAA) into a frequency-based original audio signal (FAA);
sequentially optimizing a basis conversion matrix (BKM) for converting the frequency-based original audio signal (FAA) into a frequency-based listening audio signal (FHA) using a first optimization algorithm (KA 1 ), starting from low frequencies and ascending to at least a switch frequency (UF);
sequentially optimizing the basis conversion matrix (BKM) for converting the frequency-based original audio signal (FAA) into a frequency-based listening audio signal (FHA) using a second optimization algorithm (KA 2 ), starting from the switch frequency (UF) and ascending to high frequencies;
storing the optimized basis conversion matrix (BKM) of the correlation between the frequency-based original audio signal (FAA) and the frequency-based listening audio signal (FHA) in a frequency-based conversion matrix (FKM); and
transforming the frequency-based conversion matrix (FKM) into a time-based conversion matrix (PKM) as the conversion filter (KF).
2 . The method of claim 1 , wherein a predefined fixed switch frequency (FUF) is specified as the switch frequency (UF).
3 . The method according to claim 1 , wherein at least sectionally the first optimization algorithm (KA 1 ) and the second optimization algorithm (KA 2 ) are carried out in parallel, with the difference between the two optimization results, being determined as the optimization error of the first optimization algorithm (KA 1 ).
4 . The method of claim 3 , wherein, for storage in the frequency-based conversion matrix (FKM), the result of the first optimization algorithm (KA 1 ) with a variable switch frequency (VUF) is stored until a predefined error limit is reached, and from this variable switch frequency (VUF) onwards, the result of the second optimization algorithm (KA 2 ) is stored.
5 . The method of claim 4 , wherein only the second optimization algorithm (KA 2 ) is applied above the variable switch frequency (VUF).
6 . The method according to claim 4 , wherein only the first optimization algorithm (KA 1 ) is used starting from low frequencies up to a frequency limit below the variable switch frequency (VUF).
7 . The method according to claim 3 , wherein a range of variable switch frequencies (VUF) of these optimization procedures is stored as an expected switch frequency (UF) based on multiple optimization procedures.
8 . The method according to claim 3 , wherein the first optimization algorithm (KA 1 ) and the second optimization algorithm (KA 2 ) are carried out in parallel, completely from low frequencies to the switch frequency (UF).
9 . The method according to claim 1 , wherein the first optimization algorithm (KA 1 ) is phase-dependent and the second optimization algorithm (KA 2 ) is phase-independent.
10 . The method according to claim 1 , wherein at least one of the following specification parameters is used for the two optimization algorithms (KA 1 , KA 2 ):
a recording profile (AP) specific to a geometric recording arrangement;
listener group profile (HGP) specific to a certain listener group;
listener individual profile (HPP) specific to a specific listener.
11 . The method according to claim 1 , wherein at least partially a real recorded multidimensional audio signal is used as the original audio signal (AA).
12 . The method according to claim 1 , wherein a digitally generated audio signal is used at least partially as the multidimensional original audio signal (AA).
13 . The method according to claim 1 , wherein the two-dimensional listening audio signal (HA) is designed as a left-right audio signal.
14 . The method according to claim 1 , wherein the method steps are carried out at least twice for different orientations of the two-dimensional listening audio signal (HA).
15 . A conversion method for converting a multidimensional original audio signal (AA) into a two-dimensional listening audio signal (HA), comprising:
applying a conversion filter (KF) generated by a method having the features of claim 1 to the original audio signal (AA) for conversion into the listening audio signal (HA).