MUSIC ADAPTIVE SPEAKER SYSTEM AND METHOD

• US 20150350784A1
• Filed: 12/08/2014
• Published: 12/03/2015
• Est. Priority Date: 04/03/2014
• Status: Abandoned Application

• Current Assignee: Doshi Research, LLC
• Original Assignee: Doshi Research, LLC
• Inventors: Doshi, Uma Satish
• Application Number:
  US14/563,074
• Publication Number:
  US 20150350784A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04R 3/14 Cross-over networks

Abstract

A music adaptive speaker system and method. A musical electrical signal is separated into at least two components for input, respectively, to at least two loudspeaker drivers using at least one signal-separating cross-over point having a controllable frequency or frequency range. A music-adaptive cross-over point is identified for the musical electrical signal, and the frequency or frequency range of the signal-separating cross-over point is controlled based at least in part on the music-adaptive cross-over point.

Claims

1. A music adaptive speaker system, comprising:

at least two loudspeaker drivers for transforming respective electrical inputs to respective acoustical outputs;

a cross-over network configured to receive a musical electrical signal representative of a work of music, and separate the musical electrical signal into at least two components for input, respectively, to the at least two loudspeaker drivers using at least one signal-separating cross-over point having a controllable frequency or frequency range;

a cross-over point identifying system configured to identify a music-adaptive cross-over point for the musical electrical signal; and

a cross-over network control system configured to control the cross-over network so that the frequency or frequency range of the signal-separating cross-over point is based at least in part on the music-adaptive cross-over point.

2. The system of claim 1, wherein the cross-over network control system is configured to control the cross-over network so that the frequency or frequency range of the signal-separating cross-over point is substantially the same as the music-adaptive cross-over point.

3. The system of claim 2, wherein the cross-over point identifying system is configured to identify a category of music for the musical electrical signal.

4. The system of claim 1, wherein the cross-over point identifying system is configured to identify a category of music for the musical electrical signal.

5. The system of claim 2, wherein the musical electrical signal is obtained from first data included in an electronic data file or stream, and wherein the cross-over point identifying system is configured to determine the cross-over point of the musical electrical signal from second data included in the electronic data file or stream that are metadata for the first data.

6. The system of claim 5, wherein the second data are specified, at least in part, by a person or persons who created the work of music.

7. The system of claim 1, wherein the musical electrical signal is obtained from first data included in an electronic file, and wherein the cross-over point identifying system is configured to determine the cross-over point of the musical electrical signal from second data that are metadata, relative to the first data, included in the electronic file.

8. The system of claim 7, wherein the musical electrical signal represents a work of music, wherein the second data are specified, at least in part, by a person or persons who created the work of music.

9. The system of claim 1, wherein the cross-over point identifying system is further configured to determine a signature of the musical electrical signal and compare the signature of the musical electrical signal with one or more candidate signatures for works of music representative of, respectively, a plurality of distinct candidate categories of music.

10. The system of claim 9, wherein a first signal f₁(t) is a time varying amplitude representation of a first work of music associated with the musical electrical signal, wherein a second signal f₂(t) is a time varying amplitude representation of a second work of music associated with one of the candidate categories of music, and wherein the cross-over network control system is further configured to:

perform respective frequency transformations of the signals f₁(t) and f₂(t), thereby obtaining respective first and second frequency varying functions F₁(ω

) and F₂(ω

);

derive first and second magnitude functions M₁(ω

) and M₂(ω

) from, respectively, the functions F₁(ω

) and F₂(ω

), the magnitude functions being based on the magnitudes of the functions F₁(ω

) and F₂(ω

);

fit to the magnitude functions respective first and second calming functions C₁(ω

) and C₂(ω

), each calming function imposing on its respective magnitude function a limited number “

n”

of inflection points by use of a sum of terms defining respective coefficients multiplying distinct powers of the variable (ω

) that are the same in both the first and second calming functions;

compute modified first and second calming functions MC₁(ω

) and MC₂(ω

) from the respective calming functions C₁(ω

) and C₂(ω

) so as to more nearly equalize the orders of magnitude of the coefficients of the terms of the first and second calming functions that multiply the non-zero powers of (ω

);

compare the modified calming functions MC₁(ω

) and MC₂(ω

) including compute one or more measures of difference therebetween; and

wherein, if the one or more measures of difference are within acceptable limits, identify the category of the musical electrical signal, at least in part, by identifying the first work of music as being in the same category as the second work of music.

11. A music adaptive speaker method, comprising:

receiving a musical electrical signal representative of a work of music;

identifying a music-adaptive cross-over point for the musical electrical signal;

separating the musical electrical signal into at least two components using at least one signal-separating cross-over point having a controllable frequency or frequency range; and

controlling the cross-over network so that the frequency or frequency range of the signal-separating cross-over point based at least in part on the music-adaptive cross-over point.

12. The method of claim 11, further comprising using the signal-separating cross-over point in a cross-over network that provides the at least two components as input, respectively, to at least two loudspeaker drivers for transforming the components into respective acoustical outputs.

13. The method of claim 12, further comprising controlling the cross-over network so that the frequency or frequency range of the signal-separating cross-over point is substantially the same as the music-adaptive cross-over point.

14. The method of claim 11, further comprising controlling the cross-over network so that the frequency or frequency range of the signal-separating cross-over point is substantially the same as the music-adaptive cross-over point.

15. The method of claim 14, wherein the step of identifying a music-adaptive cross-over point includes identifying a category of music for the musical electrical signal.

16. The method of claim 13, wherein the step of identifying a music-adaptive cross-over point includes identifying a category of music for the musical electrical signal.

17. The method of claim 12, wherein the step of identifying a music-adaptive cross-over point includes identifying a category of music for the musical electrical signal.

18. The method of claim 11, wherein the step of identifying a music-adaptive cross-over point includes identifying a category of music for the musical electrical signal.

19. The method of claim 14, further comprising obtaining the musical electrical signal from first data included in an electronic file or file stream, and wherein the step of identifying a music-adaptive cross-over point includes determining the music-adaptive cross-over point from second data included in the electronic file or file stream that are metadata for the first data.

20. The method of claim 19, wherein the second data are specified, at least in part, by a person or persons who created the work of music.

21. The method of claim 13, further comprising obtaining the musical electrical signal from first data included in an electronic data file or stream, and wherein the step of identifying a music-adaptive cross-over point includes determining the music-adaptive cross-over point from second data included in the electronic data file or stream that are metadata for the first data.

22. The method of claim 21, wherein the second data are specified, at least in part, by a person or persons who created the work of music.

23. The method of claim 11, further comprising obtaining the musical electrical signal from first data included in an electronic data file or stream, and wherein the step of identifying a music-adaptive cross-over point includes determining the music-adaptive cross-over point from second data included in the electronic data file or stream that are metadata for the first data.

24. The method of claim 23, wherein the second data are specified, at least in part, by a person or persons who created the work of music.

25. The method of claim 11, further comprising obtaining the musical electrical signal from first data included in an electronic file, and wherein the step of identifying a music-adaptive cross-over point includes determining the music-adaptive cross-over point from second data that are metadata, relative to the first data, included in the electronic file.

26. The method of claim 25, wherein the second data are specified, at least in part, by a person or persons who created the work of music.

27. The method of claim 12, wherein the step of identifying a music-adaptive cross-over point includes determining a signature of the musical electrical signal, and comparing the signature of the musical electrical signal with one or more candidate signatures for works of music representative of, respectively, a plurality of distinct candidate categories of music.

28. The method of claim 27, wherein a first signal f₁(t) is a time varying amplitude representation of a first work of music associated with the musical electrical signal, wherein a second signal f₂(t) is a time varying amplitude representation of a second work of music associated with one of the candidate categories of music, the method further comprising:

performing respective frequency transformations of the signals f₁(t) and f₂(t), thereby obtaining respective first and second frequency varying functions F₁(ω

) and F₂(ω

);

deriving first and second magnitude functions M₁(ω

) and M₂(ω

) from, respectively, the functions F₁(ω

) and F₂(ω

), the magnitude functions being based on the magnitudes of the functions F₁(ω

) and F₂(ω

);

fitting to the magnitude functions respective first and second calming functions C₁(ω

) and C₂(ω

), each calming function imposing on its respective magnitude function a limited number “

n”

of inflection points by use of a sum of terms defining respective coefficients multiplying distinct powers of the variable (ω

) that are the same in both the first and second calming functions;

computing modified first and second calming functions MC₁(ω

) and MC₂(ω

) from the respective calming functions C₁(ω

) and C₂(ω

) so as to more nearly equalize the orders of magnitude of the coefficients of the terms of the first and second calming functions that multiply the non-zero powers of (ω

);

comparing the modified calming functions MC₁(ω

) and MC₂(ω

) including computing one or more measures of difference therebetween; and

wherein, if the one or more measures of difference are within acceptable limits, the step of identifying a category of music for the musical electrical signal includes identifying the first work of music as being in the same category as the second work of music.

29. The method of claim 11, wherein the step of identifying a music-adaptive cross-over point includes determining a signature of the musical electrical signal, and comparing the signature of the musical electrical signal with one or more candidate signatures for works of music representative of, respectively, a plurality of distinct candidate categories of music.

30. The method of claim 29, wherein a first signal f₁(t) is a time varying amplitude representation of a first work of music associated with the musical electrical signal, wherein a second signal f₂(t) is a time varying amplitude representation of a second work of music associated with one of the candidate categories of music, the method further comprising:

performing respective frequency transformations of the signals f₁(t) and f₂(t), thereby obtaining respective first and second frequency varying functions F₁(ω

) and F₂(ω

);

deriving first and second magnitude functions M₁(ω

) and M₂(ω

) from, respectively, the functions F₁(ω

) and F₂(ω

), the magnitude functions being based on the magnitudes of the functions F₁(ω

) and F₂(ω

);

fitting to the magnitude functions respective first and second calming functions C₁(ω

) and C₂(ω

), each calming function imposing on its respective magnitude function a limited number “

n”

of inflection points by use of a sum of terms defining respective coefficients multiplying distinct powers of the variable (ω

) that are the same in both the first and second calming functions;

computing modified first and second calming functions MC₁(ω

) and MC₂(ω

) from the respective calming functions C₁(ω

) and C₂(ω

) so as to more nearly equalize the orders of magnitude of the coefficients of the terms of the first and second calming functions that multiply the non-zero powers of (ω

);

comparing the modified calming functions MC₁(ω

) and MC₂(ω

) including computing one or more measures of difference therebetween; and

wherein, if the one or more measures of difference are within acceptable limits, the step of identifying a category of music for the musical electrical signal includes identifying the first work of music as being in the same category as the second work of music.