AUTOMATICALLY ADAPTING USER GUIDANCE IN AUTOMATED SPEECH RECOGNITION

• US 20080103781A1
• Filed: 10/28/2006
• Published: 05/01/2008
• Est. Priority Date: 10/28/2006
• Status: Active Grant

• Current Assignee: General Motors LLC (General Motors Company)
• Original Assignee: General Motors Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Clark, Jason W., Weiss, John P., Wasson, Ryan J.
• Granted Patent: US 8,880,402 B2
• Time in Patent Office: Days
• US Class Current: 704/277
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices

Abstract

A speech recognition method includes receiving input speech from a user, processing the input speech to obtain at least one parameter value, and determining an experience level of the user using the parameter value(s). The method can also include prompting the user based upon the determined experience level of the user to assist the user in delivering speech commands.

Claims

1. A speech recognition method comprising the steps of:

(a) receiving input speech from a user;

(b) processing said input speech to obtain at least one parameter value; and

(c) determining an experience level of the user using the at least one parameter value.

2. The speech recognition method of claim 1, wherein step (c) further comprises calculating a score using said at least one parameter value.

3. The speech recognition method of claim 2, wherein step (c) further comprises calculating said score from a sum of said at least one parameter value.

4. The speech recognition method of claim 3, wherein said sum is a weighted sum of said at least one parameter value.

5. The speech recognition method of claim 1, wherein step (c) further comprises comparing said at least one parameter value to at least one threshold value.

6. The speech recognition method of claim 1, further comprising the step of maintaining a usage history of the user for determining the experience level of the user.

7. The speech recognition method of claim 1, wherein step (c) further comprises determining the experience level of the user from at least one or more predetermined levels of experience.

8. The speech recognition method of claim 1, further comprising the step of setting a voice recognition window based upon the determined experience level of the user.

9. The speech recognition method of claim 1, wherein said at least one parameter value includes at least one of:

speech volume, vocal pitch, vocal speed, energy profiles, steadiness, or intonation.

10. A speech recognition method for a speech recognition system comprising the steps of:

(a) receiving input speech from a user;

(b) processing said input speech to obtain at least one parameter value;

(c) determining an experience level of the user using the at least one parameter value; and

(d) prompting the user based upon said determined experience level to assist the user in delivering speech commands to the system.

11. The speech recognition method of claim 10, wherein step (d) further comprises providing the user with commands recognized by the system.

12. The speech recognition method of claim 10, wherein step (d) further comprises providing the user with instructions to guide the user.

13. The speech recognition method of claim 10, further comprising the step of suggesting commands to the user during dead time.

14. The speech recognition method of claim 10, further comprising the step of setting a voice recognition window based upon the determined experience level of the user.

15. The speech recognition method of claim 10, further comprising the step of calculating a score using said at least one parameter value.

16. The speech recognition method of claim 15, wherein step (c) further comprises calculating said score from a weighted sum of said at least one parameter value.

17. The speech recognition method of claim 10, wherein step (b) further comprises comparing said at least one parameter value to at least one threshold value.

18. The speech recognition method of claim 10, further comprising the step of maintaining a usage history of the user for determining the experience level of the user.

19. The speech recognition method of claim 10, further comprising the step of determining the user'"'"'s experience level with a group of commands.

20. A communications system located on a vehicle, comprising:

a speech receiving device to receive speech from a user;

an acoustic interface to digitize the speech into acoustic data;

a memory for storing the acoustic data; and

a processor for processing the acoustic data;

said speech receiving device, said memory, and said processor providing automated speech recognition for the acoustic data;

wherein said processor processes said acoustic data to obtain at least one parameter value, determines an experience level of the user from at least one of said parameter values, and determines a prompt for the user based upon said determined experience level to assist the user in delivering speech commands to the system.