Methods and apparatus for audio equalization based on variant selection
View Patent ↗Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization based on variant selection. An example apparatus to generate equalization adjustments for an audio signal based on user input includes a user interface to prompt a user for the user input corresponding to a selected variant of music, and an input feature set generator to generate an equalization input feature set, the equalization input feature set to be used by a model executor to adjust at least one weight of a neural network model to generate example equalization adjustments for the audio signal based on the user input, the equalization input feature set generated by: generating a data structure corresponding to the user input, the data structure including a number of entries identifying the selected variant of music, and including the data structure in the equalization input feature set.
1. An apparatus to generate equalization adjustments for an audio signal based on a user input, the apparatus comprising:
a user interface to prompt a user for the user input corresponding to a selected variant of music; and
an input feature set generator to generate an equalization input feature set, the equalization input feature set to be used by a model executor to adjust at least one weight of a neural network model to generate example equalization adjustments for the audio signal based on the user input, the equalization input feature set generated by:
generating a data structure corresponding to the user input, the data structure including a number of entries identifying the selected variant of music; and
including the data structure in the equalization input feature set.
2. The apparatus of claim 1 , wherein the number of entries is a first number of entries included in a second number of entries, each of the second number of entries corresponding to an audio engineer, the audio engineers associated with a respective variant of music.
3. The apparatus of claim 2 , wherein the input feature set generator is to generate the data structure by adjusting a second weight of number of entries when the selected variant of music corresponds to the respective variant of music associated with the number of entries.
4. The apparatus of claim 1 , wherein the selected variant of music is a music genre.
5. The apparatus of claim 1 , wherein the user interface is a graphical user interface located in an automobile.
6. The apparatus of claim 1 , wherein the user input includes a second selected variant of music.
7. The apparatus of claim 1 , further including a time to frequency domain converter to output a frequency-domain representation of the audio signal.
8. A non-transitory computer readable storage medium comprising instructions which, when executed, cause at least one processor to at least:
prompt a user for a user input corresponding to a selected variant of music; and
generate an equalization input feature set, the equalization input feature set to be used by a model executor to adjust at least one weight of a neural network model to generate example equalization adjustments for an audio signal based on the user input, the equalization input feature set generated by:
generating a data structure corresponding to the user input, the data structure including a number of entries identifying the selected variant of music; and
including the data structure in the equalization input feature set.
9. The non-transitory computer readable storage medium of claim 8 , wherein the number of entries is a first number of entries included in a second number of entries, each of the second number of entries corresponding to an audio engineer, the audio engineers associated with a respective variant of music.
10. The non-transitory computer readable storage medium of claim 9 , wherein the instructions, when executed, cause the at least one processor to generate the data structure by adjusting a second weight of number of entries when the selected variant of music corresponds to the respective variant of music associated with the number of entries.
11. The non-transitory computer readable storage medium of claim 8 , wherein the selected variant of music is a music genre.
12. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the at least one processor to obtain the user input via a graphical user interface located in an automobile.
13. The non-transitory computer readable storage medium of claim 8 , wherein the user input includes a second selected variant of music.
14. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the at least one processor to output a frequency-domain representation of the audio signal.
15. A method to generate equalization adjustments for an audio signal based on a user input, the method comprising:
prompting a user for the user input corresponding to a selected variant of music; and
generating an equalization input feature set, the equalization input feature set to be used by a model executor to adjust at least one weight of a neural network model to generate example equalization adjustments for the audio signal based on the user input, the equalization input feature set generated by:
generating a data structure corresponding to the user input, the data structure including a number of entries identifying the selected variant of music; and
including the data structure in the equalization input feature set.
16. The method of claim 15 , wherein the number of entries is a first number of entries included in a second number of entries, each of the second number of entries corresponding to an audio engineer, the audio engineers associated with a respective variant of music.
17. The method of claim 16 , further including generating the data structure by adjusting a second weight of number of entries when the selected variant of music corresponds to the respective variant of music associated with the number of entries.
18. The method of claim 15 , wherein the selected variant of music is a music genre.
19. The method of claim 15 , wherein prompting the user for the user input is via is a graphical user interface located in an automobile.
20. The method of claim 15 , wherein the user input includes a second selected variant of music.
21. The method of claim 15 , further including a time to frequency domain converter to output a frequency-domain representation of the audio signal.
22. An apparatus comprising:
means for prompting a user for a user input corresponding to a selected variant of music; and
means for generating an equalization input feature set, the equalization input feature set to be used by a model executor to adjust at least one weight of a neural network model to generate example equalization adjustments for an audio signal based on the user input, the equalization input feature set generated by:
generating a data structure corresponding to the user input, the data structure including a number of entries identifying the selected variant of music; and
including the data structure in the equalization input feature set.
23. The apparatus of claim 22 , wherein the number of entries is a first number of entries included in a second number of entries, each of the second number of entries corresponding to an audio engineer, the audio engineers associated with a respective variant of music.
24. The apparatus of claim 23 , wherein the means for generating is to generate the data structure by adjusting a second weight of number of entries when the selected variant of music corresponds to the respective variant of music associated with the number of entries.
25. The apparatus of claim 22 , wherein the selected variant of music is a music genre.
26. The apparatus of claim 22 , wherein prompting the user for the user input is via a graphical user interface located in an automobile.
27. The apparatus of claim 22 , wherein the user input includes a second selected variant of music.
28. The apparatus of claim 22 , further including means for frequency converting to output a frequency-domain representation of the audio signal.