System and method for performing distributed speech recognition

• US 20070162282A1
• Filed: 01/08/2007
• Published: 07/12/2007
• Est. Priority Date: 01/09/2006
• Status: Abandoned Application

• Current Assignee: Gilad Odinak
• Original Assignee: Gilad Odinak
• Inventors: Odinak, Gilad
• Application Number:
  US11/651,149
• Publication Number:
  US 20070162282A1
• Time in Patent Office: Days
• US Class Current: 704/255
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A system and method for performing distributed speech recognition is provided. Parts of speech in electronically-stored spoken data are identified against a plurality of stored speech grammars to provide one set of raw speech recognition results for each of the stored speech grammars. A limited number of each set of raw speech recognition results are designated as selected speech recognition results. The selected speech recognition results are assembled into a combined stored speech grammar. The same parts of speech in the spoken data are identified against the combined stored speech grammar to provide net speech recognition results.

Claims

1. A system for performing distributed speech recognition, comprising:

a set of speech recognizers to identify parts of speech in electronically-stored spoken data against a plurality of stored speech grammars to provide one set of raw speech recognition results for each of the stored speech grammars, wherein a limited number of each set of raw speech recognition results are designated as selected speech recognition results; and

a combined speech recognizer to assemble the selected speech recognition results into a combined stored speech grammar; and

to identify the same parts of speech in the spoken data against the combined stored speech grammar to provide net speech recognition results.

2. A system according to claim 1, wherein each of the stored speech grammars are specified as a non-overlapping section of a master stored speech grammar.

3. A system according to claim 1, wherein each of the stored speech grammars are specified as independent grammars.

4. A system according to claim 1, further comprising:

a root speech recognition tier structured to perform the provisioning of the combined speech recognition results; and

one or more additional speech recognition tiers structured to perform the provisioning of each of the raw speech recognition results.

5. A system according to claim 4, further comprising:

a load balancer to balance the provisioning of the raw speech recognition results over the additional speech recognition tiers.

6. A system according to claim 1, further comprising:

a results selector to select at least one of the limited number of each raw speech recognition results set and the net speech recognition results by applying an n-best selection algorithm.

7. A system according to claim 1, wherein the provisioning of each of the raw speech recognition results and of the combined speech recognition results are distributed over a plurality of processors.

8. A system according to claim 1, wherein the electronically-stored spoken data comprises streamed audio data.

9. A system according to claim 1, further comprising:

a customer call center to receive the stored audio data as each of a plurality of calls, wherein each call is processed by evaluating the net speech recognition results.

10. A method for performing distributed speech recognition, comprising:

identifying parts of speech in electronically-stored spoken data against a plurality of stored speech grammars to provide one set of raw speech recognition results for each of the stored speech grammars;

designating a limited number of each set of raw speech recognition results as selected speech recognition results;

assembling the selected speech recognition results into a combined stored speech grammar; and

identifying the same parts of speech in the spoken data against the combined stored speech grammar to provide net speech recognition results.

11. A method according to claim 10, further comprising:

specifying each of the stored speech grammars as a non-overlapping section of a master stored speech grammar.

12. A method according to claim 10, further comprising:

specifying each of the stored speech grammars as independent grammars.

13. A method according to claim 10, further comprising:

structuring the provisioning of the combined speech recognition results as a root speech recognition tier and of each of the raw speech recognition results into one or more additional speech recognition tiers.

14. A method according to claim 13, further comprising:

balancing the provisioning of the raw speech recognition results over the additional speech recognition tiers.

15. A method according to claim 10, further comprising:

selecting at least one of the limited number of each raw speech recognition results set and the net speech recognition results by applying an n-best selection algorithm.

16. A method according to claim 10, further comprising:

distributing the provisioning of each of the raw speech recognition results and of the combined speech recognition results over a plurality of processors.

17. A method according to claim 10, wherein the electronically-stored spoken data comprises streamed audio data.

18. A method according to claim 10, further comprising:

receiving the stored audio data as each of a plurality of calls incoming to a customer call center; and

processing each call by evaluating the net speech recognition results.

19. A computer-readable storage medium holding code for performing the method according to claim 10.

20. An apparatus for performing distributed speech recognition, comprising:

means for identifying parts of speech in electronically-stored spoken data against a plurality of stored speech grammars to provide one set of raw speech recognition results for each of the stored speech grammars;

means for designating a limited number of each set of raw speech recognition results as selected speech recognition results;

means for assembling the selected speech recognition results into a combined stored speech grammar; and

means for identifying the same parts of speech in the spoken data against the combined stored speech grammar to provide net speech recognition results.