Email address recognition using personal information

• US 20040019488A1
• Filed: 07/23/2002
• Published: 01/29/2004
• Est. Priority Date: 07/23/2002
• Status: Abandoned Application

• Current Assignee: Netbytel Incorporated (West Corporation)
• Original Assignee: Netbytel Incorporated (West Corporation)
• Inventors: Portillo, Pilar Manchon
• Application Number:
  US10/201,178
• Publication Number:
  US 20040019488A1
• Time in Patent Office: Days
• US Class Current: 704/275
• CPC Class Codes: G10L 15/1815 Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning

Abstract

A system, method and computer program product is provided for the automated voice recognition of an email address of a user. According to the method, speech representing the email address of the user is received, personal information of the user is accessed. The personal information of the user is used in determining the email address of the user from the speech of the user. In one preferred embodiment, the email address of the user is determined by generating a plurality of candidate email addresses based on the personal information of the user, comparing the speech of the user with each of the candidate email addresses, and selecting a best matching one of the candidate email addresses as the email address of the user.

Claims

1. A method for automated voice recognition of an email address of a user, said method comprising the steps of:

receiving speech representing the email address of the user;

accessing personal information of the user; and

using the personal information of the user in determining the email address of the user from the speech of the user.

2. The method of claim 1, wherein the step of using the personal information of the user in determining the email address includes the sub-steps of:

generating a plurality of candidate email addresses based on the personal information of the user;

comparing the speech of the user with each of the candidate email addresses; and

selecting a best matching one of the candidate email addresses as the email address of the user.

3. The method of claim 1, wherein the step of using the personal information of the user in determining the email address includes the sub-steps of:

generating a plurality of candidate email addresses based on the personal information of the user;

generating at least one pronunciation possibility for each of the candidate email addresses;

comparing the speech of the user with each of the pronunciation possibilities; and

selecting one of the candidate email addresses as the email address of the user based on the comparison.

4. The method of claim 3, wherein the sub-step of selecting one of the candidate email addresses includes:

generating a confidence score for each of the pronunciation possibilities for each of the candidate email addresses, the confidence score being indicative of a degree of similarity between the speech of the user and one of the pronunciation possibilities; and

selecting the candidate email address having the highest confidence score.

5. The method of claim 3, wherein the sub-step of generating a plurality of candidate email addresses includes:

using a plurality of email address generating algorithms to generate the candidate email addresses, each of the email address generating algorithms using some of the personal information of the user to form one of the candidate email addresses.

6. The method of claim 3, wherein the sub-step of generating at least one pronunciation possibility for each of the candidate email addresses includes:

parsing each of the candidate email addresses into a plurality of elements;

using a pronunciation dictionary to generate at least one pronunciation for each element of each of the candidate email addresses; and

generating a plurality of pronunciation possibilities for each of the candidate email addresses, each pronunciation possibility being a combination of pronunciations for the elements of one of the candidate email addresses.

7. The method of claim 3, wherein the sub-step of generating at least one pronunciation possibility for each of the candidate email addresses includes:

generating a grammar containing all of the candidate email addresses; and

using the grammar and a pronunciation dictionary to generate a plurality of pronunciation possibilities for each of the candidate email addresses.

8. The method of claim 1, wherein the step of accessing the personal information of the user includes the sub-step of:

prompting the user to provide the personal information; and

receiving the personal information of the user through speech of the user.

9. The method of claim 1, wherein the step of accessing the personal information of the user includes the sub-step of retrieving the personal information of the user from a database.

10. A machine-readable medium encoded with a program for automated voice recognition of an email address of a user, said program containing instructions for performing the steps of:

receiving speech representing the email address of the user;

accessing personal information of the user; and

using the personal information of the user in determining the email address of the user from the speech of the user.

11. The machine-readable medium of claim 10, wherein the step of using the personal information of the user in determining the email address includes the sub-steps of:

generating a plurality of candidate email addresses based on the personal information of the user;

comparing the speech of the user with each of the candidate email addresses; and

selecting a best matching one of the candidate email addresses as the email address of the user.

12. The machine-readable medium of claim 10, wherein the step of using the personal information of the user in determining the email address includes the sub-steps of:

generating a plurality of candidate email addresses based on the personal information of the user;

generating at least one pronunciation possibility for each of the candidate email addresses;

comparing the speech of the user with each of the pronunciation possibilities; and

selecting one of the candidate email addresses as the email address of the user based on the comparison.

13. The machine-readable medium of claim 12, wherein the sub-step of generating a plurality of candidate email addresses includes:

using a plurality of email address generating algorithms to generate the candidate email addresses, each of the email address generating algorithms using some of the personal information of the user to form one of the candidate email addresses.

14. The machine-readable medium of claim 12, wherein the sub-step of generating at least one pronunciation possibility for each of the candidate email addresses includes:

parsing each of the candidate email addresses into a plurality of elements;

using a pronunciation dictionary to generate at least one pronunciation for each element of each of the candidate email addresses; and

generating a plurality of pronunciation possibilities for each of the candidate email addresses, each pronunciation possibility being a combination of pronunciations for the elements of one of the candidate email addresses.

15. The machine-readable medium of claim 12, wherein the sub-step of generating at least one pronunciation possibility for each of the candidate email addresses includes:

generating a grammar containing all of the candidate email addresses; and

using the grammar and a pronunciation dictionary to generate a plurality of pronunciation possibilities for each of the candidate email addresses.

16. The machine-readable medium of claim 10, wherein the step of accessing the personal information of the user includes the sub-step of retrieving the personal information of the user from a database.

17. An automated voice recognition system comprising:

a first input for receiving speech representing the email address of the user;

a second input for receiving personal information of the user; and

a comparator for outputting an email address of the user based on the first and second inputs.

18. The automated voice recognition system of claim 17, further comprising:

a candidate email address generator for generating a plurality of candidate email addresses based on the personal information of the user,

wherein the comparator compares the speech of the user with each of the candidate email addresses and selects a best matching one of the candidate email addresses as the email address of the user.

19. The automated voice recognition system of claim 17, further comprising:

a candidate email address generator for generating a plurality of candidate email addresses based on the personal information of the user; and

a pronunciation generator for generating at least one pronunciation possibility for each of the candidate email addresses,

wherein the comparator compares the speech of the user with each of the pronunciation possibilities and selects one of the candidate email addresses as the email address of the user based on the comparison.

20. The automated voice recognition system of claim 19, wherein the candidate email address generator uses a plurality of email address generating algorithms to generate the candidate email addresses, each of the email address generating algorithms using some of the personal information of the user to form one of the candidate email addresses.

21. The automated voice recognition system of claim 19, wherein the pronunciation generator parses each of the candidate email addresses into a plurality of elements, uses a pronunciation dictionary to generate at least one pronunciation for each element of each of the candidate email addresses, and generates a plurality of pronunciation possibilities for each of the candidate email addresses, each pronunciation possibility being a combination of pronunciations for the elements of one of the candidate email addresses.

22. The automated voice recognition system of claim 19, further comprising:

a grammar generator for generating a grammar containing all of the candidate email addresses,

wherein the pronunciation generator uses the grammar and a pronunciation dictionary to generate a plurality of pronunciation possibilities for each of the candidate email addresses.

23. The automated voice recognition system of claim 17, further comprising a database for storing the personal information of the user.