Enabling Natural Language Understanding In An X+V Page Of A Multimodal Application

• US 20080208586A1
• Filed: 02/27/2007
• Published: 08/28/2008
• Est. Priority Date: 02/27/2007
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: McCobb, Gerald M., Ativanichayaphong, Soonthorn, Cross, Charles W.
• Application Number:
  US11/679,292
• Publication Number:
  US 20080208586A1
• Time in Patent Office: Days
• US Class Current: 704/270.1
• 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

Enabling natural language understanding using an X+V page of a multimodal application implemented with a statistical language model (‘SLM’) grammar of the multimodal application in an automatic speech recognition (‘ASR’) engine, with the multimodal application operating in a multimodal browser on a multimodal device supporting multiple modes of interaction including a voice mode and one or more non-voice modes, the multimodal application operatively coupled to the ASR engine through a VoiceXML interpreter, including: receiving, in the ASR engine from the multimodal application, a voice utterance; generating, by the ASR engine according to the SLM grammar, at least one recognition result for the voice utterance; determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result, the action identifier specifying an action to be performed by the multimodal application; and interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier.

Claims

1. A method of enabling natural language understanding using an X+V page of a multimodal application, the method implemented with a statistical language model (‘

SLM’

) grammar of the multimodal application in an automatic speech recognition (‘

ASR’

) engine, with the multimodal application operating in a multimodal browser on a multimodal device supporting multiple modes of interaction including a voice mode and one or more non-voice modes, the multimodal application operatively coupled to the ASR engine through a VoiceXML interpreter, the method comprising;

receiving, in the ASR engine from the multimodal application, a voice utterance;

generating, by the ASR engine according to the SLM grammar, at least one recognition result for the voice utterance;

determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result, the action identifier specifying an action to be performed by the multimodal application; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier.

2. The method of claim 1 wherein the action identifier further comprises a plurality of action class identifiers, each action class identifier specifying an action class to which the specified action belongs.

3. The method of claim 1 wherein:

the multimodal application specifies a particular action for the action identifier; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier further comprises performing the particular action specified in the multimodal application for the action identifier.

4. The method of claim 1 wherein:

the recognition result and the action identifier are represented as ECMAScript data structures; and

determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result further comprises linking the ECMAScript data structure representing the action identifier to the ECMAScript data structure representing the recognition result.

5. The method of claim 1 wherein determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result further comprises determining identifier attributes for the action identifier, the identifier attributes specifying characteristics for the action identifier.

6. The method of claim 5 wherein:

the multimodal application specifies a particular action for the action identifier; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier further comprises performing, in dependence upon the identifier attributes, the particular action specified in the multimodal application for the action identifier.

7. Apparatus for enabling natural language understanding using an X+V page of a multimodal application, the apparatus implemented with a statistical language model (‘

SLM’

) grammar of the multimodal application in an automatic speech recognition (‘

ASR’

) engine, with the multimodal application operating in a multimodal browser on a multimodal device supporting multiple modes of interaction including a voice mode and one or more non-voice modes, the multimodal application operatively coupled to the ASR engine through a VoiceXML interpreter, the apparatus comprising a computer processor and a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions capable of;

receiving, in the ASR engine from the multimodal application, a voice utterance;

generating, by the ASR engine according to the SLM grammar, at least one recognition result for the voice utterance;

determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result, the action identifier specifying an action to be performed by the multimodal application; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier.

8. The apparatus of claim 7 wherein the action identifier further comprises a plurality of action class identifiers, each action class identifier specifying an action class to which the specified action belongs.

9. The apparatus of claim 7 wherein:

the multimodal application specifies a particular action for the action identifier; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier further comprises performing the particular action specified in the multimodal application for the action identifier.

10. The apparatus of claim 7 wherein:

the recognition result and the action identifier are represented as ECMAScript data structures; and

determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result further comprises linking the ECMAScript data structure representing the action identifier to the ECMAScript data structure representing the recognition result.

11. The apparatus of claim 7 wherein determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result further comprises determining identifier attributes for the action identifier, the identifier attributes specifying characteristics for the action identifier.

12. The apparatus of claim 11 wherein:

the multimodal application specifies a particular action for the action identifier; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier further comprises performing, in dependence upon the identifier attributes, the particular action specified in the multimodal application for the action identifier.

13. A computer program product for enabling natural language understanding using an X+V page of a multimodal application, the computer program product implemented with a statistical language model (‘

SLM’

) grammar of the multimodal application in an automatic speech recognition (‘

ASR’

) engine, with the multimodal application operating in a multimodal browser on a multimodal device supporting multiple modes of interaction including a voice mode and one or more non-voice modes, the multimodal application operatively coupled to the ASR engine through a VoiceXML interpreter, the computer program product disposed upon a computer-readable, signal-bearing medium, the computer program product comprising computer program instructions capable of;

receiving, in the ASR engine from the multimodal application, a voice utterance;

generating, by the ASR engine according to the SLM grammar, at least one recognition result for the voice utterance;

determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result, the action identifier specifying an action to be performed by the multimodal application; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier.

14. The computer program product of claim 13 wherein the computer-readable, signal-bearing medium comprises a recordable medium.

15. The computer program product of claim 13 wherein the computer-readable, signal-bearing medium comprises a transmission medium.

16. The computer program product of claim 13 wherein the action identifier further comprises a plurality of action class identifiers, each action class identifier specifying an action class to which the specified action belongs.

17. The computer program product of claim 13 wherein:

the multimodal application specifies a particular action for the action identifier; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier further comprises performing the particular action specified in the multimodal application for the action identifier.

18. The computer program product of claim 13 wherein:

the recognition result and the action identifier are represented as ECMAScript data structures; and

determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result further comprises linking the ECMAScript data structure representing the action identifier to the ECMAScript data structure representing the recognition result.

19. The computer program product of claim 13 wherein determining, by an action classifier for the VoiceXML interpreter, an action identifier in dependence upon the recognition result further comprises determining identifier attributes for the action identifier, the identifier attributes specifying characteristics for the action identifier.

20. The computer program product of claim 19 wherein:

the multimodal application specifies a particular action for the action identifier; and

interpreting, by the VoiceXML interpreter, the multimodal application in dependence upon the action identifier further comprises performing, in dependence upon the identifier attributes, the particular action specified in the multimodal application for the action identifier.