METHODS AND SYSTEMS FOR MANAGING DIALOG OF SPEECH SYSTEMS

• US 20140343947A1
• Filed: 04/25/2014
• Published: 11/20/2014
• Est. Priority Date: 05/15/2013
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: WINTER, UTE, GROST, TIMOTHY
• Application Number:
  US14/262,183
• Publication Number:
  US 20140343947A1
• Time in Patent Office: Days
• US Class Current: 704/270.1
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue

Abstract

Methods and systems are provided for managing speech dialog of a speech system. In one embodiment, a method includes: receiving at least one first utterance from a user of the speech system; determining a user interaction style based on the at least one first utterance; and generating feedback to the user based on the interaction style.

Claims

1. A method for managing speech dialog of a speech system, comprising:

receiving at least one first utterance from a user of the speech system;

determining a user interaction style based on the at least one first utterance; and

generating feedback to the user based on the interaction style.

2. The method of claim 1, further comprising:

determining a next speech prompt based on the first utterance; and

adapting the next speech prompt based on the user interaction style, wherein the generating the feedback is based on the adapted speech prompt.

3. The method of claim 2, wherein the determining the user interaction style comprises determining a plurality of user interaction styles, and wherein the adapting comprises adapting the feedback based on the plurality of user interaction styles.

4. The method of claim 1, wherein the determining the user interaction style is based on style processing methods that include parameters that are associated with interactive styles.

5. The method of claim 3, wherein the parameters are predefined.

6. The method of claim 3, wherein the parameters are learned from other speech utterances.

7. The method of claim 1, wherein the user interaction style is at least one of an efficient interaction style and an interactive interaction style.

8. The method of claim 1, wherein the user interaction style is at least one of an aged interaction style and a youth interaction style.

9. The method of claim 1, wherein the user interaction style is at least one of a formal interaction style and an informal interaction style.

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

receiving user data indicating at least one of a gesture, an expression, and demographics of a user; and

wherein the determining the user interaction style is further based on the user data.

11. The method of claim 1, further comprising adapting non-speech system feedback based on the interaction style.

12. The method of claim 1, wherein the receiving the first utterance is through a human machine interface module of a vehicle.

13. A system for managing speech dialog of a speech system, comprising:

a first module that receives at least one first utterance from a user of the speech system and that determines a user interaction style based on the at least one first utterance; and

a second module that generates feedback to the user based on the interaction style.

14. The system of claim 13, further comprising:

a third module that determines a next speech prompt based on the first utterance, and wherein the second module adapts the next speech prompt based on the user interaction style, and generates the feedback based on the adapted speech prompt.

15. The system of claim 14, wherein the first module determines a plurality of user interaction styles, and wherein the second module adapts the feedback based on the plurality of user interaction styles.

16. The system of claim 13, wherein the first module determines the user interaction style based on style processing methods that include parameters that are associated with interactive styles.

17. The system of claim 16, wherein the parameters are at least one of predefined and learned from other speech utterances.

18. The system of claim 13, wherein the user interaction style is at least one of an efficient interaction style, an interactive interaction style, an aged interaction style, a youth interaction style, a formal interaction style, and an informal interaction style.

19. The system of claim of claim 13, wherein the first module receives user data indicating at least one of a gesture, an expression, and demographics of a user, and determines the user interaction style further based on the user data.

20. The system of claim 13, wherein the second module adapts non-speech system feedback based on the interaction style.