Audio correlation for viewership determination

1. A system, comprising:

at least one processor; and

at least one memory storing instructions that, when executed, cause the at least one processor to perform a process, the process comprising:

receiving audio data from a microphone of a device associated with a user;

accessing content data comprising first and second audio signatures associated with video content;

correlating the audio data with the first and second audio signatures;

identifying a first recognized video content based on the correlation of the audio data with the first audio signature;

identifying a second recognized video content based on the correlation of the audio data with the second audio signature;

receiving first tuning data indicating content being presented on a first display component;

receiving second tuning data indicating content being presented on a second display component;

correlating the first recognized video content with the first tuning data;

correlating the second recognized video content with the second tuning data;

determining that the device is closer to the first display component than the second display component based on audio qualities and/or temporal aspects of the audio data;

determining viewed video content based on the determination that the device is closer to the first display component than the second display component; and

associating the viewed video content with the user.

2. The system of claim 1 , wherein the process further comprises:

receiving third tuning data indicating content being presented on a third display component; and

determining an identification probability that the user is accessing the content on the third display component based on the viewed video content associated with the user.

3. The system of claim 2 , wherein determining the identification probability includes determining a frequency that a type of content is accessed by the user.

4. The system of claim 1 , wherein the process further comprises:

receiving fourth tuning data indicating content being presented on a fourth display component;

correlating fourth recognized video content with the fourth tuning data;

verifying the viewed video content associated with the user based on the correlation of the fourth recognized video content with the fourth tuning data; and

storing the fourth recognized video content in viewed video content associated with the user.

5. The system of claim 1 , wherein the process further comprises:

generating audio fingerprints of the audio data by processing the audio data using a Fourier Transform function,

wherein each of the first and second audio signatures comprises a fingerprint associated with video content, and

wherein correlating the audio data with the first and second audio signatures comprises comparing audio fingerprints of the audio data to the fingerprints of the first and second audio signatures.

6. The system of claim 1 , wherein the process further includes accessing a database including account data associating the first and second display components to the user.

7. The system of claim 1 , wherein the process further comprises:

receiving positioning data of the device;

receiving positioning data of the first and second display components; and

comparing the positioning data of the device with the positioning data of the first and second display components to determine that the first and second display components are local display components.

8. A method implemented with at least one processor, the method comprising:

receiving audio data from a microphone of a device associated with a user;

accessing content data comprising first and second audio signatures associated with video content;

correlating the audio data with the first and second audio signatures;

identifying a first recognized video content based on the correlation of the audio data with the first audio signature;

identifying a second recognized video content based on the correlation of the audio data with the second audio signature;

receiving first tuning data indicating content being presented on a first display component;

receiving second tuning data indicating content being presented on a second display component;

correlating the first recognized video content with the first tuning data;

correlating the second recognized video content with the second tuning data;

determining that the device is closer to the first display component than the second display component based on audio qualities and/or temporal aspects of the audio data;

determining viewed video content based on the determination that the device is closer to the first display component than the second display component; and

associating the viewed video content with the user.

9. The method of claim 8 , further comprising:

receiving third tuning data indicating content being presented on a third display component; and

determining an identification probability that the user is accessing the content on the third display component based on the viewed video content associated with the user.

10. The method of claim 9 , wherein determining the identification probability includes determining a frequency that a type of content is accessed by the user.

11. The method of claim 8 , further comprising:

receiving fourth tuning data indicating content being presented on a fourth display component;

correlating fourth recognized video content with the fourth tuning data;

verifying the viewed video content associated with the user based on the correlation of the fourth recognized video content with the fourth tuning data; and

storing the fourth recognized video content in the viewed video content associated with the user.

12. The method of claim 8 , further comprising:

generating audio fingerprints of the audio data by processing the audio data using a Fourier Transform function,

wherein each of the first and second audio signatures comprises a fingerprint associated with video content,

wherein correlating the audio data with the first and second audio signatures comprises comparing the audio fingerprints of the audio data to the fingerprints of the first and second audio signatures.

13. The method of claim 8 , further comprising accessing a database including account data associating the first and second display components to the user.

14. The method of claim 8 , further comprising:

receiving positioning data of the device;

receiving positioning data of the first and second display components; and

comparing the positioning data of the device with the positioning data of the first and second display components to determine that the first and second display components are local display components.

15. A non-transitory computer-readable medium storing instructions which, when executed, cause one or more processors to perform a process, the process comprising:

receiving audio data from a microphone of a device associated with a user;

accessing content data comprising first and second audio signatures associated with video content;

correlating the audio data with the first and second audio signatures;

identifying a first recognized video content based on the correlation of the audio data with the first audio signature;

identifying a second recognized video content based on the correlation of the audio data with the second audio signature;

receiving first tuning data indicating content being presented on a first display component;

receiving second tuning data indicating content being presented on a second display component;

correlating the first recognized video content with the first tuning data;

correlating the second recognized video content with the second tuning data;

determining that the device is closer to the first display component than the second display component based on audio qualities and/or temporal aspects of the audio data;

determining viewed video content based on the determination that the device is closer to the first display component than the second display component; and

associating the viewed video content with the user.

16. The non-transitory computer-readable medium of claim 15 , wherein the process further comprises:

receiving third tuning data indicating content being presented on a third display component; and

determining an identification probability that the user is accessing the content on the third display component based on the viewed video content associated with the user.

17. The non-transitory computer-readable medium of claim 16 , wherein determining the identification probability includes determining a frequency that a type of content is accessed by the user.

18. The non-transitory computer-readable medium of claim 15 , wherein the process further comprises:

receiving fourth tuning data indicating content being presented on a fourth display component;

correlating a fourth recognized video content with the fourth tuning data;

verifying the viewed video content associated with the user based on the correlation of the fourth recognized video content with the fourth tuning data; and

storing the fourth recognized video content in the viewed video content associated with the user.

19. The non-transitory computer-readable medium of claim 15 , wherein the process further includes accessing a database including account data associating the first and second display components to the user.

20. The non-transitory computer-readable medium of claim 15 , wherein the process further comprises:

receiving positioning data of the device;

receiving positioning data of the first and second display components; and

comparing the positioning data of the device with the positioning data of the first and second display components to determine that the first and second display components are local display components.