ADAPTATION METHODS AND SYSTEMS FOR SPEECH SYSTEMS

• US 20150379985A1
• Filed: 06/30/2014
• Published: 12/31/2015
• Est. Priority Date: 06/30/2014
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: WANG, PEGGY, WINTER, UTE, GROST, TIMOTHY J., HIGHSTROM, MATTHEW M.
• Granted Patent: US 9,858,920 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G10L 15/07 to the speaker
• CPC Class Codes: G10L 2015/227 of the speaker; Human-factor methodology
• CPC Class Codes: G10L 25/03 characterised by the type of extracted parameters

Abstract

Adaptation methods and systems are provided for a speech system of a vehicle. In one embodiment a method comprises: receiving speech data; determining a speech pace based on the speech data; determining a user model based on the speech pace; and generating adaptation parameters for at least one of a speech recognition system and a dialog manager based on the user model.

Claims

1. An adaptation method for a speech system of a vehicle, comprising:

receiving speech data;

determining a speech pace based on the speech data;

determining a user model based on the speech pace; and

generating adaptation parameters for at least one of a speech recognition system and a dialog manager based on the user model.

2. The method of claim 1, wherein speech data comprises data recorded during a speech window and at least one of data recorded before the defined recording window and after the defined recording window.

3. The method of claim 1, wherein the determining the speech pace comprises dividing the speech data into speech sections and non-speech sections and wherein the determining the speech pace is based on a timing of the speech sections and the non-speech sections.

4. The method of claim 1, wherein the determining the user model comprises associating the speech pace with a user identifier.

5. The method of claim 1, wherein the determining the user model further comprises associating context data with the speech pace.

6. The method of claim 5, wherein the context data comprises at least one of user attention data, vehicle environment data, vehicle maneuver data, navigation data, and weather data.

7. The method of claim 1, wherein the generating the adaptation parameters comprises generating adaptation parameters that adapt a dialog pace of the dialog manager.

8. The method of claim 1, wherein the generating the adaptation parameters comprises generating adaptation parameters that adapt dialog prompts of the dialog manager.

9. The method of claim 1, wherein the generating the adaptation parameters comprises generating adaptation parameters that adapt a recording window of the speech recognition system.

10. The method of claim 1, wherein the generating the adaptation parameters comprises generating adaptation parameters that adapt speech recognition of the speech recognition system.

11. An adaptation system for a speech system of a vehicle, comprising:

a first module that receives speech data and determines a speech pace based on the speech data;

a second module that determines a user model based on the speech pace; and

a third module that generates adaptation parameters for at least one of a speech recognition system and a dialog manager based on the user model.

12. The system of claim 11, wherein speech data comprises data recorded during a speech window and at least one of data recorded before the defined recording window and after the defined recording window.

13. The system of claim 11, wherein the first module determines the speech pace by dividing the speech data into speech sections and non-speech sections and determines the speech pace based on a timing of the speech sections and the non-speech sections.

14. The system of claim 11, wherein the second module determines the user model by associating the speech pace with a user identifier.

15. The system of claim 11, wherein the second module determines the user model by associating context data with the speech pace.

16. The system of claim 15, wherein the context data comprises at least one of user attention data, vehicle environment data, vehicle maneuver data, navigation data, and weather data.

17. The system of claim 11, wherein the third module generates the adaptation parameters by generating adaptation parameters that adapt a dialog pace of the dialog manager.

18. The system of claim 11, wherein the third module generates the adaptation parameters by generating adaptation parameters that adapt dialog prompts of the dialog manager.

19. The system of claim 11, wherein the third module generates the adaptation parameters by generating adaptation parameters that adapt a recording window of the speech recognition system.

20. The system of claim 11, wherein the third module generates the adaptation parameters by generating adaptation parameters that adapt speech recognition of the speech recognition system.