Email capture system for a voice recognition speech application

• US 20070043562A1
• Filed: 05/09/2006
• Published: 02/22/2007
• Est. Priority Date: 07/29/2005
• Status: Abandoned Application

• Current Assignee: Apptera Incorporated
• Original Assignee: Apptera Incorporated
• Inventors: Holsinger, David, Boothroyd, Margaret
• Application Number:
  US11/431,492
• Publication Number:
  US 20070043562A1
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding

Abstract

A system is provided for segmenting a character sting into useable parts and for deriving statistically relevant and searchable patterns from those separate parts. The system includes a corpus containing an initial set of character strings for processing, a corpus processor for identifying and segmenting each of the character strings, a segmentation rule available to the processor, and a pattern generator for generating the patterns.

Claims

1. A system for segmenting a character sting into useable parts and for deriving statistically relevant and searchable patterns from those separate parts comprising:

a corpus containing an initial set of character strings for processing;

a corpus processor for identifying and segmenting each of the character strings;

a segmentation rule available to the processor; and

a pattern generator for generating the patterns.

2. The system of claim 1, wherein the character strings are email addresses and the segmentation rule results in segmentation of those strings into three logical parts.

3. The system of claim 2, wherein specific characters of the character string are common to all of the strings in the corpus and are not included in any of the three segments of any string.

4. The system of claim 3, wherein those characters common to all of the strings in the corpus are the @ character and the dot character immediately before the domain indication of the string.

5. The system of claim 1, further including a grammar rule generator for deriving all possible complete character strings from the patterns generated from the segments of corpus email strings.

6. An email capture interface integrated into a speech application comprising:

a first voice prompt for soliciting a first voice response of a first email address segment;

a second voice prompt for soliciting a second voice response of a second email address segment;

a third voice prompt for soliciting a third voice response of a third email address segment;

characterized in that pattern conversions and pattern searches against a pattern index occur separately for each voice response whereupon after the first response an attempt to predict the rest of the email address through statistical pattern relevancy is made, the attempt repeated again after the second response in the event of failure after the first attempt.

7. The email capture interface of claim 6, wherein the first voice response is account name, the second voice response is the company name, and the third voice response is the domain name.

8. The email capture interface of claim 6 further including a voice prompt soliciting confirmation after receiving and ambiguously recognizing any of the three voice responses.

9. A method for building a pattern index from a corpus of email addresses including acts for:

(a) sorting and parsing the email strings in the corpus to isolate common segments

of those strings;

(b) deriving patterns for the isolated segments;

(c) indexing those patterns for data searching according to statistical relevancy;

(d) deriving all of the possible complete patterns representing possible complete emails from the segment patterns derived; and

(e) indexing the complete email patterns according to statistical relevancy.

10. The method of claim 9, wherein in step (a), the common segments are separated by the character @ and a dot character occurring immediately before the domain designation of the email address.

11. A method for dynamically fine tuning a grammar base used with a running speech application adapted, at least in part, for recognizing spoken email address segments including acts for:

(a) failing to recognize a spoken email address, or address segment beyond a preset threshold of ambiguity;

(b) prompting a caller for confirmation of yes or no of the ambiguous email address or address segment;

(c) receiving confirmation of the ambiguous email address or address segment; and

,

(d) updating the logic used to maintain the grammar baser with the confirmed parameter.

12. The method of claim 11, wherein in act (a), the threshold value defines a boundary between full recognition and ambiguous recognition.

13. The method of claim 11, wherein in act (b), the system prompt voices the most statistically relevant pattern found first.

14. The method of claim 11, wherein in act (d), the confirmed pattern is that of an email address segment.

15. The method of claim 11, wherein in act (b), the response to the prompt is no and the act is repeated a preset number of times until the confirmation response is yes, or the process ends without recognition.

16. The method of claim 11, wherein in act (c), the ambiguity was not resolved and an additional act is dynamically provided to access a customer resource management (CRM) database to attempt to retrieve the correct parameter.

17. The method of claim 16, wherein an additional act is added to prompt for confirmation of the parameter retrieved from the CRM database.