Audio correlation for viewership determination
A computer system may include 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 may include receiving audio data from a user device, and accessing content data including at least one audio signature associated with video content. The process may also include correlating the audio data with the at least one audio signature and identifying recognized video content based on the correlation of the audio data with the at least one audio. The process may also include receiving tuning data including content being presented on a display component. The process may further include correlating the recognized video content with the tuning data, determining viewed video content based on the correlation of the recognized video content with the tuning data, and storing the viewed video content in a user array.
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 single microphone of a device associated with a user;
accessing content data comprising first and second audio signatures associated with video content;
accessing a database including account data associating first and second display components to the user;
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 the first display component;
receiving second tuning data indicating content being presented on the 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;
storing the viewed video content in an array associated with the user;
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 array associated with the user.
2. The system of claim 1 , wherein determining the identification probability includes determining a frequency that a type of content is accessed by the user.
3. 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 user array based on the correlation of the fourth recognized video content with the fourth tuning data; and
storing the fourth recognized video content in the user array.
4. 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,
wherein correlating the audio data with the first and second audio signatures comprises comparing audio fingerprints of the audio data to the fingerprints associated with the video content.
5. The system of claim 1 , wherein the process further comprises:
receiving positioning data from the device indicative of a location of the device;
receiving positioning data of a plurality of display components indicative of a location of each the plurality of display components; and
comparing the location of the device with the locations of the plurality of display components to determine local display components,
wherein correlating the first recognized video content with the first tuning data includes correlating the first recognized video content with tuning data of the local display components.
6. The system of claim 1 , wherein determining the identification probability is performed without any additional audio data.
7. A computer-implemented method, comprising:
receiving, with at least one processor, audio data from a single microphone of a device associated with a user;
accessing, with the at least one processor, content data comprising first and second audio signatures associated with video content;
accessing a database including account data associating first and second display components to the user;
correlating, with the at least one processor, the audio data to the first and second audio signatures;
identifying, with the at least one processor, a first recognized video content based on the correlation of the audio data with the first audio signature;
identifying, with the at least one processor, a second recognized video content based on the correlation of the audio data with the second audio signature;
receiving, with the at least one processor, first tuning data indicating content being presented on the first display component;
receiving, with the at least one processor, second tuning data indicating content being presented on the second display component;
correlating, with the at least one processor, the first recognized video content with the first tuning data;
correlating, with the at least one processor, 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, with the at least one processor, viewed video content based on the determination that the device is closer to the first display component than the second display component;
storing, with the at least one processor, the viewed video content in an array associated with the user;
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 array associated with the user.
8. The computer-implemented method of claim 7 , wherein determining the identification probability includes determining a frequency that a type of content is accessed by the user.
9. The computer-implemented method of claim 7 , 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 user array based on the correlation of the fourth recognized video content with the fourth tuning data; and
storing the fourth recognized video content in the user array.
10. The computer-implemented method of claim 7 , 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,
wherein correlating the audio data with the first and second audio signatures comprises comparing the audio fingerprints of the audio data to the fingerprints associated with the video content.
11. The computer-implemented method of claim 7 , further comprises:
receiving positioning data from the device indicative of a location of the device;
receiving positioning data of a plurality of display components indicative of a location of each the plurality of display components; and
comparing the location of the device with the locations of the plurality of display components to determine local display components,
wherein correlating the first recognized video content with the first tuning data includes correlating the first recognized video content with tuning data of the local display components.
12. The computer-implemented method of claim 7 , wherein determining the identification probability is performed without any additional audio data.
13. 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 single microphone of a device associated with a user;
accessing content data comprising first and second audio signature associated with video content;
accessing a database including account data associating first and second display components to the user;
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;
receiving first tuning data indicating content being presented on the first display component;
receiving second tuning data indicating content being presented on the second display component;
correlating the first recognized video content with the first tuning data;
correlating the first recognized video content with the first 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;
storing the viewed video content in an array associated with the user;
receiving third tuning data indicating content being presented on a third second display component; and
determining an identification probability that the user is accessing the content on the third display component based on the array associated with the user.
14. The non-transitory computer-readable medium of claim 13 , wherein determining the identification probability includes determining a frequency that a type of content is accessed by the user.
15. The non-transitory computer-readable medium of claim 13 , 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 user array based on the correlation of the fourth recognized video content with the fourth tuning data; and
storing the fourth recognized video content in the user array.
16. The non-transitory computer-readable medium of claim 13 , wherein the process further comprises:
receiving positioning data from the device indicative of a location of the device;
receiving positioning data of a plurality of display components indicative of a location of each the plurality of display components; and
comparing the location of the device with the locations of the plurality of display components to determine local display components,
wherein correlating the first recognized video content with the first tuning data includes correlating the first recognized video content with tuning data of the local display components.
17. The non-transitory computer-readable medium of claim 13 , wherein determining the identification probability is performed without any additional audio data.