Systems and methods for detecting and removing traceable identifying audio content from media content

Patent metadata

Field	Value
Publication number	US-10950250-B2
Application number	US-202016836782-A
Country	US
Kind code	B2
Filing date	Mar 31, 2020
Priority date	Jul 8, 2016
Publication date	Mar 16, 2021
Grant date	Mar 16, 2021

Abstract

Systems and methods are disclosed for detecting and removing traceable identifying audio content from electronic media content. One method includes: receiving, over a network, media content to be broadcast or distributed, the media content including audio data; determining whether the audio data of the media content includes traceable identifying audio content defined by an audio identifier; generating new audio data based on the audio data of the media content when an audio identifier is determined to be include in the audio data; removing audio data from the media content when the audio identifier is determined to be include in the audio data; adding the new audio data to the media content when the audio data is removed from the media content; and broadcasting or distributing the media content having the new audio data to one or more user devices.

First claim

The invention claimed is:

1. A computer-implemented method for detecting and removing traceable identifying audio content from electronic media content, the method comprising:
receiving, over a network at one or more servers, media content to be broadcast or distributed, the media content including first audio data;
detecting, by the one or more servers, traceable identifying audio content in the first audio data, the traceable identifying audio content defined by an audio identifier;
generating, by the one or more servers, second audio data based on the first audio data of the media content;
removing, by the one or more servers, the first audio data from the media content;
adding, by the one or more servers, the second audio data to the media content; and
broadcasting or distributing, by the one or more servers, the media content having the second audio data to one or more user devices.

2. The method of claim 1 , wherein detecting the traceable identifying audio content includes evaluating the first audio data based on a predetermined set of frequencies, the predetermined set of frequencies including at least one of inaudible human frequencies, ultrasonic audio frequencies, and infrasonic audio frequencies.

3. The method of claim 1 , wherein detecting the traceable identifying audio content includes transforming the first audio data into a set of frequency components using an integral transformation, the integral transformation being at least one of a Fourier transform, fast Fourier transform, Fourier sine transform, Fourier cosine transform, Hartley transform, Mellin transform, two-sided Laplace transform, Laplace transform, Weierstrass transform, Hankel transform, Abel transform, Hilbert transform, Poisson kernel, and an identity transform.

4. The method of claim 1 , wherein generating the second audio data based on the first audio data of the media content comprises:
removing, by the one or more servers, a set of frequencies determined to include the audio identifier from a transformed first audio data; and
transforming, by the one or more servers, a remaining set of frequencies of the transformed audio data into second audio data using an integral transform.

5. The method of claim 1 , wherein the audio identifier is in a human inaudible frequency range.

6. The method of claim 1 , wherein the audio identifier is in at least one of an ultrasonic audio frequency range and an infrasonic frequency range.

7. A system for detecting and removing traceable identifying audio content from electronic media content, the system including:
a data storage device that stores instructions for detecting and removing traceable identifying audio content from electronic media content; and
a processor configured to execute the instructions to perform a method including:
receiving, over a network at one or more servers, media content to be broadcast or distributed, the media content including first audio data;
detecting, by the one or more servers, traceable identifying audio content in the first audio data, the traceable identifying audio content defined by an audio identifier;
generating, by the one or more servers, second audio data based on the first audio data of the media content;
removing, by the one or more servers, the first audio data from the media content;
adding, by the one or more servers, the second audio data to the media content; and
broadcasting or distributing, by the one or more servers, the media content having the second audio data to one or more user devices.

8. The system of claim 7 , wherein detecting the traceable identifying audio content includes evaluating the first audio data based on a predetermined set of frequencies, the predetermined set of frequencies including at least one of inaudible human frequencies, ultrasonic audio frequencies, and infrasonic audio frequencies.

9. The system of claim 7 , wherein detecting the traceable identifying audio content includes transforming the first audio data into a set of frequency components using an integral transformation, the integral transformation being at least one of a Fourier transform, fast Fourier transform, Fourier sine transform, Fourier cosine transform, Hartley transform, Mellin transform, two-sided Laplace transform, Laplace transform, Weierstrass transform, Hankel transform, Abel transform, Hilbert transform, Poisson kernel, and an identity transform.

10. The system of claim 7 , wherein generating the second audio data based on the first audio data of the media content comprises:
removing, by the one or more servers, a set of frequencies determined to include the audio identifier from a transformed first audio data; and
transforming, by the one or more servers, a remaining set of frequencies of the transformed audio data into second audio data using an integral transform.

11. The system of claim 7 , wherein the audio identifier is in a human inaudible frequency range.

12. The system of claim 7 , wherein the audio identifier is in at least one of an ultrasonic audio frequency range and an infrasonic frequency range.

13. A non-transitory computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform a method for detecting and removing traceable identifying audio content from electronic media content, the method including:
receiving, over a network at one or more servers, media content to be broadcast or distributed, the media content including first audio data;
detecting, by the one or more servers, traceable identifying audio content in the first audio data, the traceable identifying audio content defined by an audio identifier;
generating, by the one or more servers, second audio data based on the first audio data of the media content;
removing, by the one or more servers, the first audio data from the media content;
adding, by the one or more servers, the second audio data to the media content; and
broadcasting or distributing, by the one or more servers, the media content having the second audio data to one or more user devices.

14. The computer-readable medium of claim 13 , wherein detecting the traceable identifying audio content includes evaluating the first audio data based on a predetermined set of frequencies, the predetermined set of frequencies including at least one of inaudible human frequencies, ultrasonic audio frequencies, and infrasonic audio frequencies.

15. The computer-readable medium of claim 13 , wherein detecting the traceable identifying audio content includes transforming the first audio data into a set of frequency components using an integral transformation, the integral transformation being at least one of a Fourier transform, fast Fourier transform, Fourier sine transform, Fourier cosine transform, Hartley transform, Mellin transform, two-sided Laplace transform, Laplace transform, Weierstrass transform, Hankel transform, Abel transform, Hilbert transform, Poisson kernel, and an identity transform.

16. The computer-readable medium of claim 13 , wherein generating the second audio data based on the first audio data of the media content comprises:
removing, by the one or more servers, a set of frequencies determined to include the audio identifier from a transformed first audio data; and
transforming, by the one or more servers, a remaining set of frequencies of the transformed audio data into second audio data using an integral transform.

17. The computer-readable medium of claim 13 , wherein the audio identifier is in a human inaudible frequency range.

18. The computer-readable medium of

Assignees

• Verizon Media Inc

Inventors

• Demsey Seth Mitchell
• Crystal Jay

Classifications

• H04N21/44222 Primary

  Analytics of user selections, e.g. selection of programmes or purchase activity (monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33) · CPC title

• H04N21/4722

  for requesting additional data associated with the content · CPC title

• H04N21/812

  involving advertisement data (advertising per se G06Q30/02) · CPC title

• G10L25/48

  specially adapted for particular use · CPC title

• H04N21/42203

  sound input device, e.g. microphone · CPC title