System and method for utilizing an anchor to reduce memory requirements for speech recognition

• US 20040148163A1
• Filed: 01/23/2003
• Published: 07/29/2004
• Est. Priority Date: 01/23/2003
• Status: Abandoned Application

• Current Assignee: Aurilab LLC
• Original Assignee: Aurilab LLC
• Inventors: Baker, James K.
• Application Number:
  US10/348,943
• Publication Number:
  US 20040148163A1
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G10L 15/04 Segmentation; Word boundary detection
• CPC Class Codes: G10L 15/285 Memory allocation or algorithm optimisation to reduce hardware requirements

Abstract

A speech recognition method includes receiving a sequence of acoustic observations. The method also includes detecting whether or not at least one of a set of prescribed patterns occurs in the sequence of acoustic observations. The method further includes, based on the detecting result, setting an anchor for each of the set of prescribed patterns detected, and splitting up the sequence of acoustic observations into separate subsequences separated by the anchor. The method also includes performing a speech recognition processing on each of the separate subsequences, in sequence, and joining that information along with information of the anchor, to obtain speech recognition processing of an entirely of the sequence of acoustic observations.

Claims

1. A speech recognition method, comprising:

receiving a sequence of acoustic observations;

detecting whether or not at least one of a set of prescribed patterns occurs in the sequence of acoustic observations;

based on the detecting result, setting an anchor for at least one of the set of prescribed patterns detected in the sequence of acoustic observations, and splitting up the sequence of acoustic observations into separate portions separated by the anchor; and

performing a speech recognition processing on each of the separate portions to obtain recognition information, and joining the recognition information along with information of the anchor, to obtain speech recognition processing of an entirety of the sequence of acoustic observations.

2. The method as defined in claim 1, wherein the performing step sequentially performs speech recognition processing on each of the separate portions.

3. The method as defined in claim 1, wherein the anchor is set at a location of the prescribed pattern detected in the sequence of acoustic observations.

4. The method as defined in claim 1, wherein the anchor is set at a location in the sequence of acoustic observations corresponding to an approximate middle position in the sequence of acoustic observations.

5. The method as defined in claim 1, wherein the anchor corresponds to a particular word in the sequence of acoustic observations.

6. The method as defined in claim 1, wherein the anchor corresponds to a particular sequence of phonemes in the sequence of acoustic observations.

7. The method as defined in claim 1, wherein the anchor corresponds to a speech recognized word corresponding to at least one number in the sequence of acoustic observations.

8. The method as defined in claim 1, further comprising:

during the speech recognition processing of each of the separate portions, determining all possible prefix nodes that occur just before occurrence of the anchor in the sequence of acoustic observations, and determining all possible suffix nodes that occur just after occurrence of the anchor in the sequence of acoustic observations.

9. The method as defined in claim 8, wherein the prefix nodes and the suffix nodes are determined based on a particular language model.

10. The method as defined in claim 1, wherein the sequence of acoustic observations corresponds to a sequence of phonemes of a portion of input speech.

11. The method as defined in claim 1, wherein the sequence of acoustic observations corresponds to frequency data of a portion of input speech.

12. The method as defined in claim 1, wherein the sequence of acoustic observations corresponds to a sequence of words of a portion of input speech.

13. A speech recognition system, comprising:

an input unit configured to receive a sequence of acoustic observations;

a pattern detecting unit configured to detect whether or not at least one of a set of predetermined patterns occurs in the sequence of acoustic observations;

an anchor setting unit configured to set an anchor for at least one of the set of prescribed patterns detected, and to split up the sequence of acoustic observations into separate portions separated by the anchor; and

a speech recognition processing unit configured to perform speech recognition processing on each of the separate portions, and to join information obtained from each of the speech recognition processings, along with information of the anchor, to obtain speech recognition processing of an entirety of the sequence of acoustic observations.

14. The system as defined in claim 13, wherein the speech recognition processing unit sequentially performs speech recognition processing on each of the separate portions.

15. The system as defined in claim 13, wherein the anchor is set at a location of the prescribed pattern detected in the sequence of acoustic observations.

16. The system as defined in claim 13, wherein the anchor is set at a location in the sequence of acoustic observations corresponding to an approximate middle position in the sequence of acoustic observations.

17. The system as defined in claim 13, wherein the anchor corresponds to a particular word in the sequence of acoustic observations.

18. The system as defined in claim 13, wherein the anchor corresponds to a particular sequence of phonemes in the sequence of acoustic observations.

19. The system as defined in claim 13, wherein the anchor corresponds to a speech recognized word corresponding to at least one number in the sequence of acoustic observations.

20. The system as defined in claim 13, further comprising:

a node beginning and ending determining unit configured to determine all possible prefix nodes that occur just before occurrence of the anchor in the sequence of acoustic observations, and all possible suffix nodes that occur just after occurrence of the anchor in the sequence of acoustic observations, and to provide that information to the speech recognition processing unit.

21. The system as defined in claim 20, wherein the prefix nodes and the suffix nodes are determined based on a particular language model.

22. A program product having machine-readable program code for performing speech recognition, the program code, when executed, causing a machine to perform the following steps:

detecting whether or not at least one of a set of predetermined patterns occurs in a sequence of acoustic observations;

setting an anchor for at least one of the set of prescribed patterns detected by the first program product code, and splitting up the sequence of acoustic observations into separate subsequences separated by the anchor; and

performing speech recognition processing on each of the separate subsequences, and joining information obtained from each of the speech recognition processings, along with information of the anchor, to obtain speech recognition processing of an entirety of the sequence of acoustic observations.

23. The program product as defined in claim 22, wherein the performing step sequentially performs speech recognition processing on each of the separate portions.

24. The program product as defined in claim 22, wherein the anchor is set at a location of the prescribed pattern detected in the sequence of acoustic observations.

25. The program product as defined in claim 22, wherein the anchor is set at a location in the sequence of acoustic observations corresponding to an approximate middle position in the sequence of acoustic observations.

26. The program product as defined in claim 22, wherein the anchor corresponds to a particular word in the sequence of acoustic observations.

27. The program product as defined in claim 22, wherein the anchor corresponds to a particular sequence of phonemes in the sequence of acoustic observations.

28. The program product as defined in claim 22, wherein the anchor corresponds to a speech recognized word corresponding to at least one number in the sequence of acoustic observations.

29. The program product as defined in claim 22, the program code causing the computing system to further perform the step of:

determining all possible prefix nodes that occur just before occurrence of the anchor in the sequence of acoustic observations, and all possible suffix nodes that occur just after occurrence of the anchor in the sequence of acoustic observations.

30. The program product as defined in claim 22, wherein the detecting step comprises, for each node in a frame synchronous speech recognition process:

taking a score from a best path leading to the node;

updating the score with observations from a current frame;

pruning nodes that are worse that a pruning threshold; and

taking a score of a final node, if not pruned, as a score for spotting the anchor ending at the current frame.

31. The program product as defined in claim 30, further comprising:

using a traceback computation to find a starting time for initiating the detecting step and an ending time for completing the detecting step.

32. The program product as defined in claim 30, wherein the set of predetermined patterns comprises:

a first set of predetermined patterns to be used to initially find anchors in the sequence of acoustic observations; and

a second set of predetermined patterns to be used to find anchors in at least one of the separate subsequences after an anchor has been found from the first set of predetermined patterns.