Granted Patent B1

US 9,361,887 · App. 14/846,925 · Granted Jun 7, 2016

Abstract

Claims (41)

1. A computer-implemented method, the method being implemented in a computer system having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the computer system to perform the method, the method comprising:

receiving from a natural language processing training device an identification token containing a first portion and a second portion, the first portion identifying a first file for a voice data collection campaign, and the second portion identifying a second file for a session script, the session script supporting a mobile application on the natural language processing training device;

using the first file and the second file to configure the mobile application to display a sequence of screens, each of the sequence of screens containing text of at least one utterance specified in the voice data collection campaign;

receiving voice data from the natural language processing training device in response to user interaction with the text of the at least one utterance; and

storing the voice data and the text of the at least one utterance in a transcription library.

2. The method of claim 1 , further comprising:

gathering a first filename corresponding to the first file;

gathering a second filename corresponding to the second file; and

creating the identification token using the first filename and the second filename.

3. The method of claim 1 , wherein the identification token comprises an alphanumeric character string.

4. The method of claim 1 , wherein the identification token comprises a concatenation of the first portion and the second portion.

5. The method of claim 1 , wherein one or more of the first file and the second file comprises a JavaScript Object Notation (JSON) file.

6. The method of claim 1 , wherein the utterance comprises one or more of a syllable, a word, a phrase, or a variant thereof.

7. The method of claim 1 , wherein the user interaction comprises a selection of a touch-screen button instructing the mobile application to record the voice data.

8. The method of claim 1 , wherein the natural language processing training device comprises one or more of a mobile phone, a tablet computing device, a laptop, and a desktop.

9. The method of claim 1 , wherein the voice data collection campaign is configured to collect demographic information related to a user of the natural language processing training device.

10. A system comprising:

a memory;

one or more physical processors programmed with one or more computer program instructions which, when executed, cause the one or more physical processors to:

receive from a natural language processing training device an identification token containing a first portion and a second portion, the first portion identifying a first file for a voice data collection campaign, and the second portion identifying a second file for a session script, the session script supporting a mobile application on the natural language processing training device;

use the first file and the second file to configure the mobile application to display a sequence of screens, each of the sequence of screens containing text of at least one utterance specified in the voice data collection campaign;

receive voice data from the natural language processing training device in response to user interaction with the text of the at least one utterance; and

store the voice data and the text of the at least one utterance in a transcription library.

11. The system of claim 10 , wherein the instructions cause the one or more physical processors to:

gather a first filename corresponding to the first file;

gather a second filename corresponding to the second file; and

create the identification token using the first filename and the second filename.

12. The system of claim 10 , wherein the identification token comprises an alphanumeric character string.

13. The system of claim 10 , wherein the identification token comprises a concatenation of the first portion and the second portion.

14. The system of claim 10 , wherein one or more of the first file and the second file comprises a JavaScript Object Notation (JSON) file.

15. The system of claim 10 , wherein the utterance comprises one or more of a syllable, a word, a phrase, or a variant thereof.

16. The system of claim 10 , wherein the user interaction comprises a selection of a touch-screen button instructing the mobile application to record the voice data.

17. The system of claim 10 , wherein the natural language processing training device comprises one or more of a mobile phone, a tablet computing device, a laptop, and a desktop.

18. The system of claim 10 , wherein the voice data collection campaign is configured to collect demographic information related to a user of the natural language processing training device.

19. A computer program product comprising:

one or more tangible, non-transitory computer-readable storage devices;

program instructions, stored on at least one of the one or more tangible, non-transitory computer-readable tangible storage devices that, when executed, cause a computer to:

receive from a natural language processing training device an identification token containing a first portion and a second portion, the first portion identifying a first file for a voice data collection campaign, and the second portion identifying a second file for a session script, the session script supporting a mobile application on the natural language processing training device;

use the first file and the second file to configure the mobile application to display a sequence of screens, each of the sequence of screens containing text of at least one utterance specified in the voice data collection campaign;

receive voice data from the natural language processing training device in response to user interaction with the text of the at least one utterance; and

store the voice data and the text of the at least one utterance in a transcription library.

Assignments (8)