NATURAL LANGUAGE UNDERSTANDING AUTOMATIC SPEECH RECOGNITION POST PROCESSING

• US 20140379334A1
• Filed: 06/20/2013
• Published: 12/25/2014
• Est. Priority Date: 06/20/2013
• Status: Abandoned Application

• Current Assignee: 2236008 Ontario Inc. (Blackberry Limited)
• Original Assignee: QNX Software Systems Limited (Canada) (Blackberry Limited)
• Inventors: Fry, Darrin Kenneth John
• Application Number:
  US13/922,965
• Publication Number:
  US 20140379334A1
• Time in Patent Office: Days
• US Class Current: 704/235
• CPC Class Codes: G10L 15/183 using context dependencies, e.g. language models
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/228 of application context

Abstract

In an automatic speech recognition post processing system, speech recognition results are received from an automatic speech recognition service. The speech recognition results may include transcribed speech, an intent classification and/or extracted fields of intent parameters. The speech recognition results are post processed for use in a specified context. All or a portion of the speech recognition results are compared to keywords that are sensitive to the specified context. The post processed speech recognition results are provided to an appropriate application which is operable to utilize the context sensitive product of post processing.

Claims

1. A method for automatic speech recognition result post processing, the method comprising:

in a computing or communication device;

receiving speech recognition results from an automatic speech recognition service, said speech recognition results including one or more of;

transcribed speech,

an intent classification, and

one or more extracted fields of intent parameters;

post processing said speech recognition results for use in a specified context, by comparing all or a portion of said speech recognition results to one or more context sensitive keywords; and

providing said post processed said speech recognition results to an application.

2. The method of claim 1, wherein said one or more context sensitive keywords are associated with said computing or communication device.

3. The method of claim 1, wherein said one or more context sensitive keywords are associated with an application that is executable by said computing or communication device.

4. The method of claim 1, wherein said one or more extracted fields of intent parameters are normalized into a form that it is usable by an application.

5. The method of claim 1 further comprising, determining a context sensitive intent classification during said post processing, based on said speech recognition results and said one or more context sensitive keywords.

6. The method of claim 1 further comprising, determining one or more context sensitive intent parameters during said post processing, based on said speech recognition results and said one or more context sensitive keywords.

7. The method of claim 1 further comprising, extracting one or more context sensitive intent parameters, during said post processing, from said one or more of:

said transcribed speech,

said intent classification, and

said one or more extracted fields of intent parameters.

8. The method of claim 1 further comprising, adding intent parameters to said one or more extracted fields of intent parameters received from automatic speech recognition service or removing intent parameters from said one or more extracted fields of intent parameters received from automatic speech recognition service during said post processing.

9. The method of claim 1, wherein said speech recognition results received from said automatic speech recognition service is post processed using natural language understanding techniques.

10. The method of claim 1, wherein said automatic speech recognition service is a natural language automatic speech recognition service which is not sensitive to said specified context.

11. The method of claim 1 further comprising, adding a new application to said computing or communication device and dynamically voice enabling said new application by:

receiving one or more context sensitive keywords that are associated with said new application utilizing an application programming interface;

post processing said speech recognition results based on the context of said new application, by comparing all or a portion of said speech recognition results to said one or more of said context sensitive keywords that are associated with said new application; and

providing said post processed said speech recognition results to said new application.

12. A system for automatic speech recognition result post processing, the system comprising one or more processors or circuits for use in a computing or communications device, wherein said one or more processors or circuits are operable to:

receive speech recognition results from an automatic speech recognition service, said speech recognition results including one or more of;

transcribed speech,

an intent classification, and

one or more extracted fields of intent parameters;

post process said speech recognition results for use in a specified context, by comparing all or a portion of said speech recognition results to one or more context sensitive keywords; and

provide said post processed said speech recognition results to an application.

13. The system of claim 12, wherein said one or more context sensitive keywords are associated with said computing or communication device.

14. The system of claim 12, wherein said one or more context sensitive keywords are associated with an application that is executable by said computing or communication device.

15. The system of claim 12, wherein said one or more extracted fields of intent parameters are normalized into a form that it is usable by an application.

16. The system of claim 12, wherein said one or more processors or circuits are operable to determine a context sensitive intent classification during said post processing, based on said speech recognition results and said one or more context sensitive keywords.

17. The system of claim 12, wherein said one or more processors or circuits are operable to determine one or more context sensitive intent parameters during said post processing, based on said speech recognition results and said one or more context sensitive keywords.

18. The system of claim 12, wherein said one or more processors or circuits are operable to extract one or more context sensitive intent parameters, during said post processing, from said one or more of:

said transcribed speech,

said intent classification, and

said one or more extracted fields of intent parameters.

19. The system of claim 12, wherein said one or more processors or circuits are operable to add intent parameters to said one or more extracted fields of intent parameters received from automatic speech recognition service or remove intent parameters from said one or more extracted fields of intent parameters received from automatic speech recognition service during said post processing.

20. The system of claim 12, wherein said speech recognition results received from said automatic speech recognition service is post processed using natural language understanding techniques.

21. The system of claim 12, wherein said automatic speech recognition service is a natural language automatic speech recognition service which is not sensitive to said specified context.

22. The system of claim 12, wherein said one or more processors or circuits are operable to add a new application to said computing or communication device and dynamically voice enable said new application by:

receiving one or more context sensitive keywords that are associated with said new application utilizing an application programming interface;

post processing said speech recognition results based on the context of said new application, by comparing all or a portion of said speech recognition results to said one or more of said context sensitive keywords that are associated with said new application; and

providing said post processed said speech recognition results to said new application.