METHODS AND SYSTEMS FOR SHAPING DIALOG OF SPEECH SYSTEMS

• US 20140358538A1
• Filed: 05/28/2013
• Published: 12/04/2014
• Est. Priority Date: 05/28/2013
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Tzirkel-Hancock, Eli, Hecht, Ron M., Tsimhoni, Omer, Winter, Ute
• Application Number:
  US13/903,626
• Publication Number:
  US 20140358538A1
• Time in Patent Office: Days
• US Class Current: 704/243
• CPC Class Codes: G10L 15/07 to the speaker
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 25/03 characterised by the type of extracted parameters

Abstract

Methods and systems are provided for shaping speech dialog of a speech system. In one embodiment, a method includes: receiving data related to a first utterance from a user of the speech system; processing the data based on at least one attribute processing technique that determines at least one attribute of the first utterance; determining a shaping pattern based on the at least one attribute; and generating a speech prompt based on the shaping pattern.

Claims

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

receiving data related to a first utterance from a user of the speech system;

processing the data based on at least one attribute processing technique that determines at least one attribute of the first utterance;

determining a shaping pattern based on the at least one attribute; and

generating a speech prompt based on the shaping pattern.

2. The method of claim 1, further comprising:

processing the data based on one or more speech recognition methods;

determining a confidence score based on the speech recognition methods, and

wherein the processing the data based on the least one attribute processing technique is selectively performed based on the confidence score.

3. The method of claim 1, wherein the at least one attribute processing technique is based on at least one of a rhythm of speech, a vocabulary of speech, a verbosity of speech, an accent of speech, and a dialect of speech.

4. The method of claim 1, wherein the processing the data is based on at least one attribute processing technique that determines at least one attribute quality of the first speech utterance, and wherein the determining the shaping pattern is based on the at least one attribute quality.

5. The method of claim 1, wherein the at least one attribute quality is based on a quality of at least one of a rhythm of speech, a vocabulary of speech, a verbosity of speech, an accent of speech, and a dialect of speech.

6. The method of claim 1, wherein the shaping pattern modifies an attribute of a speech prompt.

7. The method of claim 1, wherein the shaping pattern modifies at least one of a rhythm of speech, a vocabulary of speech, a verbosity of speech, an accent of speech, and a dialect of speech.

8. The method of claim 6, wherein the shaping pattern modifies a quality of an attribute of a speech prompt.

9. The method of claim 8, wherein the shaping pattern modifies the quality of the attribute of the speech prompt based on a determined cause of a recognition confidence score being below a threshold.

10. The method of claim 1, wherein the generating the speech prompt comprises applying the shaping pattern to a predefined speech prompt, and generating the speech prompt based on the predefined speech prompt that has been shaped.

11. A speech system for shaping speech dialog, comprising:

a first module that receives data related to a first utterance from a user of the speech system;

a second module that processes the data based on at least one attribute processing technique that determines at least one attribute of the first utterance;

a third module that determines a shaping pattern based on the at least one attribute; and

a fourth module that generates a speech prompt based on the shaping pattern.

12. The speech system of claim 11, wherein the first module processes the data based on one or more speech recognition methods, and determines a confidence score based on the speech recognition methods, and wherein the second module selectively processes the data based on the confidence score.

13. The speech system of claim 11, wherein the at least one attribute processing technique is based on at least one of a rhythm of speech, a vocabulary of speech, a verbosity of speech, an accent of speech, and a dialect of speech.

14. The speech system of claim 11, wherein the second module processes the data based on at least one attribute processing technique that determines at least one attribute quality of the first utterance, and wherein the third module determines the shaping pattern based on the at least one attribute quality.

15. The speech system of claim 11, wherein the at least one attribute quality is based on a quality of at least one of a rhythm of speech, a vocabulary of speech, a verbosity of speech, an accent of speech, and a dialect of speech.

16. The speech system of claim 11, wherein the shaping pattern modifies an attribute of a speech prompt.

17. The speech system of claim 11, wherein the shaping pattern modifies at least one of a rhythm of speech, a vocabulary of speech, a verbosity of speech, an accent of speech, and a dialect of speech.

18. The speech system of claim 16, wherein the shaping pattern modifies a quality of an attribute of a speech prompt.

19. The speech system of claim 18, wherein the shaping pattern modifies the quality of the attribute of the speech prompt based on a determined cause of a recognition confidence score being below a threshold.

20. The speech system of claim 11, wherein the fourth module generates the speech prompt by applying the shaping pattern to a predefined speech prompt, and generating the speech prompt based on the predefined speech prompt that has been shaped.