System, Method and Program for Customized Voice Communication

• US 20130110511A1
• Filed: 10/31/2011
• Published: 05/02/2013
• Est. Priority Date: 10/31/2011
• Status: Abandoned Application

• Current Assignee: Telcordia Technologies Incorporated (Telefonaktiebolaget LM Ericsson)
• Original Assignee: Telcordia Technologies Incorporated (Telefonaktiebolaget LM Ericsson)
• Inventors: Wullert, John R. II, Spiegel, Murray
• Application Number:
  US13/285,763
• Publication Number:
  US 20130110511A1
• Time in Patent Office: Days
• US Class Current: 704/243
• CPC Class Codes: G10L 15/005 Language recognition
• 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 2015/227 of the speaker; Human-factor methodology

Abstract

A method for customized voice communication comprising receiving a speech signal, retrieving a user account including an user profile corresponding to an identifier of a caller producing the speech signal, and determining if the user profile includes a speech profile with at least one dialect. If the user profile includes a speech profile, the method further comprises analyzing using a speech analyzer on the speech signal to classify the speech signal into a classified dialect, comparing the classified dialect with each of the dialects in the user profiles to select one of the dialects, and using the selected dialect for subsequent voice communication with the user. The selected dialect can be used for subsequent recognition and response speech synthesis. Moreover, a method is described for storing a user'"'"'s own pronunciation of names and addresses, whereby a user may be greeted by the communication device using their own specific pronunciation.

Claims

1. A method for customized voice communication comprising:

receiving a speech signal;

retrieving an user account including a user profile corresponding an identifier of a caller producing the speech signal; and

determining if the user profile include a speech profile including at least one dialect;

if the user profile includes a speech profile, the method further comprising;

analyzing using a speech analyzer the speech signal to classify the speech signal into a classified dialect;

comparing the classified dialect with each of the at least one dialect in the user profile to select one of the at least one dialect; and

using the selected one of the at least one dialect for subsequent voice communication based upon the comparing including subsequent recognition and response speech synthesis.

2. The method according to claim 1, further comprising

monitoring regularly the speech signal for differences in dialect or speech pattern.

3. The method according to claim 2, further comprising

updating the speech profile based upon the monitoring.

4. The method according to claim 3, wherein said updating includes a modification of a user choice dictionary in the speech profile.

5. The method according to claim 3, wherein said updating includes a modification of a synthesis pronunciation.

6. The method according to claim 1, wherein if the user profile does not include a speech profile, the method comprises determining the speech profile.

7. The method according to claim 6, wherein said determining comprises:

analyzing using a speech analyzer the speech signal to classify the speech signal into one of a plurality of dialects; and

creating the speech profile by storing the dialect in the user profile, the profile being identified by an identifier of a caller producing the speech signal.

8. The method according to claim 7, wherein said classifying includes analyzing a speaking style, word choice and phoneme characteristics.

9. The method according to claim 1, further comprising prompting a user to generate the speech signal.

10. The method according to claim 6, wherein said determining comprises:

analyzing using a speech analyzer the speech signal to classify the speech signal into one of a plurality of dialects;

analyzing using a speech analyzer the speech signal to create a user choice dictionary; and

creating the speech profile by storing the dialect and user choice dictionary in the user profile, the profile being identified by an identifier of a caller producing the speech signal.

11. The method according to claim 1, wherein if the comparing indicates a difference the method further comprises evaluating the difference.

12. The method according to claim 11, wherein if the difference is greater than a variable threshold, the method further comprises creating a new speech profile.

13. The method according to claim 11, wherein if the difference is less than a variable threshold, the difference is stored in the speech profile for subsequent analysis.

14. The method according to claim 1, wherein the user account includes at least two speech profiles, and the comparing includes comparing each of the speech profiles with the classified dialect.

15. The method according to claim 1, wherein the speech profile includes a dialect for use in recognition, a dialect for use in a response speech synthesis, a user-choice dictionary and a special-pronunciation dictionary.

16. The method according to claim 15, wherein the dialect for use in recognition and the dialect for use in a response speech synthesis are different.

17. The method according to claim 15, further comprising adjusting the special-pronunciation dictionary based upon a selectable criterion.

18. The method according to claim 15, further comprising updating, separately, definitions in the dialect for use in recognition and a dialect for use in a response speech synthesis.

19. The method according to claim 15, wherein when a change in dialect is implemented, the voice for the response speech synthesis is changed.

20. The method according to claim 1, wherein the method is employed in a call center.

21. The method according to claim 1, wherein the method is employed in an on-line computer game.

22. The method according to claim 1, wherein the method is employed during language education.

23. A method for customized voice communication comprising:

receiving a speech signal;

retrieving an user account including an user profile corresponding an identifier of a caller producing the speech signal;

obtaining a textual spelling of a word in the user profile;

searching a pronunciation dictionary for a list of available pronunciations for the word;

analyzing using a speech analyzer the speech signal to obtain a user pronunciation for the word to output a processed result;

comparing the processed result with each of the available pronunciations in the list of available pronunciation;

selecting a pronunciation for the word based upon the comparing; and

using the selected pronunciation for subsequent voice communication.

24. The method for customized voice communication according to claim 23, wherein the pronunciation dictionary contains a ranking of available pronunciations which is ranked according to common pronunciations, the ranking being indexed by the word.

25. The method for customized voice communication according to claim 24, wherein the ranking is based upon grouping of available pronunciations by tiers and available pronunciations ranked in a first tier is compared with the analyzed user pronunciation in a first comparison.

26. The method for customized voice communication according to claim 25, wherein if the analyzed user pronunciation does not match any of the available pronunciations ranked in the first tier during the first comparison, said comparing is repeated using available pronunciations from the first and additional tiers until a match is found, one additional tier is added per repetition.

27. The method for customized voice communication according to claim 23, wherein if the a list of available pronunciations for the word is void of any available pronunciations, the method further comprises:

creating a pronunciation from the textual spelling of the word based on at least one predefined pronunciation rule; and

comparing the created pronunciation with the processed result.

28. The method for customized voice communication according to claim 23, further comprising:

creating a pronunciation for the textual spelling of the word based on at least one predefined pronunciation rule;

comparing the created pronunciation with the processed result; and

selecting a pronunciation based the comparing of the processed result with each of the available pronunciations in the list of available pronunciation and the comparing of the created pronunciation with the processed result.

29. The method according to claim 23, wherein the identifier of a caller producing the speech signal is a caller ID for a caller.

30. The method according to claim 23, further comprising prompting a user to generate the speech signal.