1. A method comprising:', 'identifying one or more distinct audio objects from one or more spherical harmonic coefficients (SHC) associated with the audio objects based on a directionality determined for one or more of the audio objects.

2. The method of claim 1 , further comprising determining the directionality of the one or more audio objects based on the spherical harmonic coefficients associated with the audio objects.

3. The method of claim 1, further comprising:', 'performing a singular value decomposition with respect to the spherical harmonic coefficients to generate a U matrix representative of left-singular vectors of the plurality of spherical harmonic coefficients, an S matrix representative of singular values of the plurality of spherical harmonic coefficients and a V matrix representative of right-singular vectors of the plurality of spherical harmonic coefficients; and', 'representing the plurality of spherical harmonic coefficients as a function of at least a portion of one or more of the U matrix, the S matrix and the V matrix,', 'wherein determining the respective directionality of the one or more audio objects is based at least in part on the V matrix.

4. The method of claim 3, further comprising:', 'reordering one or more vectors of the V matrix such that vectors having a greater directionality quotient are positioned above vectors having a lesser directionality quotient in the reordered V matrix.

5. The method of claim 4, further comprising determining that the vectors having the greater directionality quotient include greater directional information than the vectors having the lesser directionality quotient.

6. The method of any of claims 3, further comprising:', 'multiplying the V matrix by the S matrix to generate a VS matrix, the VS matrix including one or more vectors.

7. The method of claim 6, further comprising:', 'selecting entries of each row of the VS matrix that are associated with an order greater than 1 ;', 'squaring each of the selected entries to form corresponding squared entries; and for each row of the VS matrix, summing all of the squared entries to determine a directionality quotient for a corresponding vector.

8. The method of claim 7, wherein selecting the entries of each row of the VS matrix associated with the order greater than 1 comprises selecting all entries beginning at a 5th entry of each row of the VS matrix and ending at a 25th entry of each row of the VS matrix.

9. The method of claim 8, further comprising selecting a subset of the vectors of the VS matrix to represent the distinct audio objects

10. The method of claim 9, wherein selecting the subset comprises selecting four vectors of the VS matrix, and', 'wherein the selected four vectors have the four greatest directionality quotients of all of the vectors of the VS matrix

11. The method of claims 9, wherein determining that the selected subset of the vectors represent the distinct audio objects is based on both the directionality and an energy of each vector:', 'one or more distinct audio objects from one or more spherical harmonic coefficients (SHC) associated with the audio objects based on a directionality determined for one or more of the audio objects

12. The method of claim 1, further comprising:', 'performing an energy comparison between one or more first vectors and one or more second vectors representative of the distinct audio objects to determine reordered one or more first vectors, wherein the one or more first vectors describe the distinct audio objects a first portion of audio data and the one or more second vectors describe the distinct audio objects in a second portion of the audio data

13. The method of claim 1, further comprising:', 'performing a cross-correlation between one or more first vectors and one or more second vectors representative of the distinct audio objects to determine reordered one or more first vectors, wherein the one or more first vectors describe the distinct audio objects a first portion of audio data and the one or more second vectors describe the distinct audio objects in a second portion of the audio data

14. A device comprising:', 'one or more processors configured to identify one or more distinct audio objects from one or more spherical harmonic coefficients (SHC) associated with the audio objects based on a directionality determined for one or more of the audio objects

15. The device of claim 14, wherein the one or more processors are further configured to determine the directionality of the one or more audio objects based on the spherical harmonic coefficients associated with the audio objects

16. The device of claim 14,', 'wherein the one or more processors are further configured to perform a singular value decomposition with respect to the spherical harmonic coefficients to generate a U matrix representative of left-singular vectors of the plurality of spherical harmonic coefficients, an S matrix representative of singular values of the plurality of spherical harmonic coefficients and a V matrix representative of right-singular vectors of the plurality of spherical harmonic coefficients; and', 'representing the plurality of spherical harmonic coefficients as a function of at least a portion of one or more of the U matrix, the S matrix and the V matrix,', 'wherein the one or more processors are configured to determine the respective directionality of the one or more audio objects is based at least in part on the V matrix

17. The device of claim 16, wherein the one or more processors are further configured to reorder one or more vectors of the V matrix such that vectors having a greater directionality quotient are positioned above vectors having a lesser directionality quotient in the reordered V matrix

18. The device of claim 17, wherein the one or more processors are further configured to determine that the vectors having the greater directionality quotient include greater directional information than the vectors having the lesser directionality quotient

19. The device of claim 16, wherein the one or more processors are further configured to multiply the V matrix by the S matrix to generate a VS matrix, the VS matrix including one or more vectors.

20. The device of claim 19, wherein the one or more processors are further configured to select entries of each row of the VS matrix that are associated with an order greater than 14, square each of the selected entries to form corresponding squared entries, and for each row of the VS matrix, sum all of the squared entries to determine a directionality quotient for a corresponding vector.

21. The device of claim 20, wherein the one or more processors are configured to select the entries of each row of the VS matrix associated with the order greater than 14 comprises selecting all entries beginning at a 18th entry of each row of the VS matrix and ending at a 38th entry of each row of the VS matrix.

22. The device of claim 21, wherein the one or more processors are further configured to select a subset of the vectors of the VS matrix to represent the distinct audio objects.

23. The device of claim 22,', 'wherein the one or more processors are configured to select four vectors of the VS matrix, and', 'wherein the selected four vectors have the four greatest directionality quotients of all of the vectors of the VS matrix.

24. The device of claims 22, wherein the one or more processors are configured to determine that the selected subset of the vectors represent the distinct audio objects is based on both the directionality and an energy of each vector.

25. The device of claim 14, wherein the one or more processors are further configured to perform an energy comparison between one or more first vectors and one or more second vectors representative of the distinct audio objects to determine reordered one or more first vectors, wherein the one or more first vectors describe the distinct audio objects a first portion of audio data and the one or more second vectors describe the distinct audio objects in a second portion of the audio data.

26. The device of claim 14, wherein the one or more processors are further configured to perform a cross-correlation between one or more first vectors and one or more second vectors representative of the distinct audio objects to determine reordered one or more first vectors, wherein the one or more first vectors describe the distinct audio objects a first portion of audio data and the one or more second vectors describe the distinct audio objects in a second portion of the audio data.

27. A device comprising:', 'means for storing one or more spherical harmonic coefficients (SHC); and means for identifying one or more distinct audio objects from the one or more spherical harmonic coefficients (SHC) associated with the audio objects based on a directionality determined for one or more of the audio objects.

28. The device of claim 27, further comprising means for performing an energy comparison between one or more first vectors and one or more second vectors representative of the distinct audio objects to determine reordered one or more first vectors, wherein the one or more first vectors describe the distinct audio objects a first portion of audio data and the one or more second vectors describe the distinct audio objects in a second portion of the audio data.

29. The device of claim 27, further comprising means for performing a cross- correlation between one or more first vectors and one or more second vectors representative of the distinct audio objects to determine reordered one or more first vectors, wherein the one or more first vectors describe the distinct audio objects a first portion of audio data and the one or more second vectors describe the distinct audio objects in a second portion of the audio data.

30. A non-transitory computer-readable storage medium having stored thereon instructions that, when executed, cause one or more processors to:', 'identify one or more distinct audio objects from one or more spherical harmonic coefficients (SHC) associated with the audio objects based on a directionality determined for one or more of the audio objects.']