System and method for providing augmented data in a network environment

• US 8,553,065 B2
• Filed: 04/18/2011
• Issued: 10/08/2013
• Est. Priority Date: 04/18/2011
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Gannu, Satish K., Frazier, Leon A., Moretti, Didier R.
• Primary Examiner(s): Ramakrishnaiah, Melur
• Application Number:
  US13/088,974
• Publication Number:
  US 20120262533A1
• Time in Patent Office: 904 Days
• Field of Search: 348 1401- 1416, 704/251, 704/235
• US Class Current: 348/14.07
• CPC Class Codes: H04M 2201/40 using speech recognition speech recognition per se G10L15/00
• CPC Class Codes: H04M 2203/2038 Call context notifications
• CPC Class Codes: H04M 2203/359 Augmented reality
• CPC Class Codes: H04M 3/567 Multimedia conference systems
• CPC Class Codes: H04M 3/569 using the instant speaker's algorithm speech detection per se G10L25/78
• CPC Class Codes: H04N 7/15 Conference systems

Abstract

A method is provided in one example and includes identifying a particular word recited by an active speaker in a conference involving a plurality of endpoints in a network environment; evaluating a profile associated with the active speaker in order to identify contextual information associated with the particular word; and providing augmented data associated with the particular word to at least some of the plurality of endpoints. In more specific examples, the active speaker is identified using a facial detection protocol, or a speech recognition protocol. Data from the active speaker can be converted from speech to text.

Claims

1. A method, comprising:

Identifying, by a media engine, a particular word recited by an active speaker in a conference involving a plurality of endpoints in a network environment;

evaluating, by the media engine, a profile associated with the active speaker in order to identify contextual information associated with the particular word;

determining, by the media engine, augmented data associated with the particular word based on the contextual information identified from the profile associated with the active speaker;

providing, by the media engine, the augmented data associated with the particular word to at least some of the plurality of endpoints.

2. The method of claim 1, wherein the active speaker is identified using a facial detection protocol, or a speech recognition protocol.

3. The method of claim 1, wherein audio data from the active speaker is converted from speech to text.

4. The method of claim 1, wherein information in the profile is used to provide personal data about the active speaker to the plurality of endpoints.

5. The method of claim 1, wherein the augmented data is provided on a display of a video conference.

6. The method of claim 1, wherein the augmented data is provided as a message in a chat forum of an audio conference.

7. The method of claim 1, wherein the augmented data is provided as audio data delivered to at least some of the endpoints on particular end-user devices.

8. The method of claim 1, wherein profiles associated with the plurality of endpoints are evaluated in order to adjust the augmented data to be provided to each of the endpoints.

9. Logic encoded in non-transitory media that includes code for execution and when executed by a processor is operable to perform operations comprising:

identifying a particular word recited by an active speaker in a conference involving a plurality of endpoints in a network environment;

evaluating a profile associated with the active speaker in order to identify contextual information associated with the particular word;

determining augmented data associated with the particular word based on the contextual information identified from the profile associated with the active speaker;

providing augmented data associated with the particular word to at least some of the plurality of endpoints.

10. The logic of claim 9, wherein the active speaker is identified using a facial detection protocol, or a speech recognition protocol.

11. The logic of claim 9, wherein audio data from the active speaker is converted from speech to text.

12. The logic of claim 9, wherein information in the profile is used to provide personal data about the active speaker to the plurality of endpoints.

13. The logic of claim 9, wherein the augmented data is provided on a display of a video conference.

14. The logic of claim 9, wherein the augmented data is provided as a message in a chat forum of an audio conference.

15. The logic of claim 9, wherein the augmented data is provided as audio data delivered to at least some of the endpoints on particular end-user devices.

16. An apparatus, comprising:

a memory element configured to store data;

a processor operable to execute instructions associated with the data;

a media engine configured to interface with the memory element and the processor such that the apparatus is configured for;

identifying a particular word recited by an active speaker in a conference involving a plurality of endpoints in a network environment;

evaluating a profile associated with the active speaker in order to identify contextual information associated with the particular word;

determining augmented data associated with the particular word based on the contextual information identified from the profile associated with the active speaker; and

providing augmented data associated with the particular word to at least some of the plurality of endpoints.

17. The apparatus of claim 16, wherein the active speaker is identified using a facial detection protocol, or a speech recognition protocol.

18. The apparatus of claim 16, wherein audio data from the active speaker is converted from speech to text.

19. The apparatus of claim 16, wherein information in the profile is used to provide personal data about the active speaker to the plurality of endpoints.

20. The apparatus of claim 16, wherein profiles associated with the plurality of endpoints are evaluated in order to adjust the augmented data to be provided to each of the endpoints.