System and method for targeted advertising

• US 9,015,050 B2
• Filed: 11/05/2013
• Issued: 04/21/2015
• Est. Priority Date: 10/24/2008
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Morrison, Patrick Jason
• Primary Examiner(s): Godbold, Douglas
• Application Number:
  US14/071,945
• Publication Number:
  US 20140058846A1
• Time in Patent Office: 532 Days
• Field of Search: 704/270, 704/275
• US Class Current: 704/275
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G10L 15/02 Feature extraction for speech recognition; Selection of recognition unit
• CPC Class Codes: G10L 15/08 Speech classification or search
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/088 Word spotting
• CPC Class Codes: G10L 25/63 for estimating an emotional state

Abstract

Disclosed is a method of receiving an audio stream containing user speech from a first device, generating text based on the user speech, identifying a key phrase in the text, receiving from an advertiser an advertisement related to the identified key phrase, and displaying the advertisement. The method can include receiving from an advertiser a set of rules associated with the advertisement and displaying the advertisement in accordance with the associated set of rules. The method can display the advertisement on one or both of a first device and a second device. A central server can generate text based on the speech. A key phrase in the text can be identified based on a confidence score threshold. The advertisement can be displayed after the audio stream terminates.

Claims

1. A method comprising:

receiving speech of a user;

generating, via a processor, text based on the speech;

identifying a key phrase in the text based on an emotion of the user;

receiving, via the processor, data from a user profile comprising one of information describing the user, usage habits of the user, previously recognized key phrases of the user, and demographic information of the user; and

receiving an advertisement related to the key phrase and the data.

2. The method of claim 1, further comprising displaying the advertisement.

3. The method of claim 2, wherein displaying the advertisement occurs a period of time after receiving the speech.

4. The method of claim 3, wherein receiving the speech occurs during a call.

5. The method of claim 4, wherein displaying the advertisement occurs a period of time after one of an ending of the call and after identifying the key phrase.

6. The method of claim 2, wherein displaying the advertisement occurs while receiving the speech.

7. The method of claim 1, wherein the speech is received from a first device and wherein displaying the advertisement occurs on a second device different from the first device.

8. The method of claim 1, further comprising:

receiving from an advertiser a set of rules associated with the advertisement; and

displaying the advertisement in accordance with the set of rules.

9. The method of claim 1, wherein at least one key phrase in the text is identified based on a confidence score threshold.

10. The method of claim 1, the method further comprising:

receiving multiple audio streams containing other speech from a same user; and

generating text based on the other speech contained in the multiple audio streams.

11. A system comprising:

a processor; and

a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising;

receiving speech of a user;

generating text based on the speech;

identifying a key phrase in the text based on an emotion of the user;

receiving data from a user profile comprising one of information describing the user, usage habits of the user, previously recognized key phrases of the user, and demographic information of the user; and

receiving an advertisement related to the key phrase and the data.

12. The system of claim 11, wherein the computer-readable medium having additional instructions stored which, when executed by the processor, result in operations comprising displaying the advertisement.

13. The system of claim 12, wherein displaying the advertisement occurs a period of time after receiving the speech.

14. The system of claim 13, wherein receiving the speech occurs during a call.

15. The system of claim 14, wherein displaying the advertisement occurs a period of time after one of an ending of the call and after identifying the key phrase.

16. The system of claim 12, wherein displaying the advertisement occurs while receiving the speech.

17. The system of claim 11, wherein the speech is received from a first device and wherein displaying the advertisement occurs on a second device different from the first device.

18. The system of claim 11, the computer-readable medium having additional instructions stored which, when executed by the processor, result in operations comprising:

receiving from an advertiser a set of rules associated with the advertisement; and

displaying the advertisement in accordance with the set of rules.

19. The system of claim 11, wherein the computer-readable medium having additional instructions stored which, when executed by the processor result in operations comprising:

receiving multiple audio streams containing other speech from a same user; and

generating text based on the other speech contained in the multiple audio streams.

20. A computer-readable storage device having instructions stored which, when executed by a processor, cause the processor to perform operations comprising:

receiving speech of a user;

generating text based on the speech;

identifying a key phrase in the text based on an emotion of the user;

receiving data from a user profile comprising one of information describing the user, usage habits of the user, previously recognized key phrases of the user, and demographic information of the user; and

receiving an advertisement related to the key phrase and the data.