Speech recognition system having an application program interface

• US 20040111259A1
• Filed: 12/10/2002
• Published: 06/10/2004
• Est. Priority Date: 12/10/2002
• Status: Abandoned Application

• Current Assignee: LumenVox, LLC. (Ai Software LLC)
• Original Assignee: LumenVox, LLC. (Ai Software LLC)
• Inventors: Bergman, Michael D., Blake, James F. II, Miller, Edward S., Danielson, Kyle N., Herold, Keith C.
• Application Number:
  US10/317,837
• Publication Number:
  US 20040111259A1
• Time in Patent Office: Days
• US Class Current: 704/231
• CPC Class Codes: G10L 15/19 Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A system and method for a speech recognition system application program interface (API). The system and method additionally enable the application programmer to generate multiple grammars and voice channels, such that the audio data in any voice channel may be decoded utilizing any active grammar. The system and method enable the dynamic updating of grammars without reloading or rebooting the system. Additionally, the grammar can be implemented to include multiple grammars having multiple concepts. Still further, each concept can be implemented to include multiple phrases, and the system and method are configured to decode flexible phrase formats.

Claims

1. A method of adding a grammar to a speech recognition system, the method comprising:

storing a first grammar in the speech recognition system;

decoding a first speech audio portion with the first grammar;

during operation, adding a second grammar to the speech recognition system; and

decoding the first speech audio portion with the second grammar.

2. The method of claim 1, further comprising removing the first grammar from the speech recognition system during operation.

3. A speech recognition system, comprising:

a set of grammars stored externally to the speech recognition system; and

an interface for loading one of the grammars into the speech recognition system while the speech recognition system is operational.

4. The speech recognition system of claim 3, further comprising an application program which selectively accesses the set of grammars and interface to reconfigure the speech recognition system.

5. A method of adding a grammar to a speech recognition system, the method comprising:

during operation, adding a first grammar having a first phrase format to the speech recognition system;

decoding a first speech audio portion with the first grammar;

during operation, adding a second grammar having a second phrase format to the speech recognition system; and

decoding a second speech audio portion with the second grammar.

6. The method of claim 5, wherein the phrase format is selected from the following:

normal, Backus Naur Form, phonetic, or a combination of any of the previous formats.

7. A speech recognition system, comprising:

a set of grammars stored externally to the speech recognition system, wherein the grammars include at least two different phrase formats; and

an interface for loading at least one of the grammars into the speech recognition system while the speech recognition system is operational.

8. A speech recognition engine, comprising:

a collection of voice channels;

a collection of grammars; and

a speech port manager that manages a plurality of audio decodes, each decode resulting from assignment of a speech audio portion to a selected grammar and a selected voice channel.

9. The speech recognition engine of claim 8, wherein the decode includes a confidence score.

10. The speech recognition engine of claim 8, wherein the speech audio portion is in Pulse Code Modulation format.

11. The speech recognition engine of claim 8, wherein the speech audio portion is in MU-LAW format.

12. The speech recognition engine of claim 8, wherein an acoustic model is selected before the decode based on a standard grammar and speaker gender.

13. A method of executing simultaneous speech audio portion decodes in a speech recognition system, the method comprising:

selecting a grammar from a collection of grammars;

selecting a voice channel from a collection of voice channels;

decoding a speech audio portion with the selected grammar;

storing the decoded audio in the selected voice channel; and

repeating the above at least one time.

14. The method of claim 13, further comprising comparing the results from each voice channel to obtain a best decoded audio portion.

15. A speech recognition system, comprising:

a concept collection, wherein each concept is associated with multiple phrases;

a decoder to decode a speech audio portion with the multiple phrases; and

an interface to add a new concept and associated multiple phrases to the concept collection.

16. The speech recognition system of claim 15, wherein a speech audio portion is decoded with a first grammar and a second grammar, which is added during run-time.

17. A method of adding a grammar having at least one concept and associated phrases to a speech recognition system, the method comprising:

storing a first grammar having a first concept and associated phrases in the speech recognition system;

decoding a first speech audio portion with the first grammar;

comparing the decoded speech with each of the multiple phrases of the first concept;

determining a matched phrase to the first speech audio portion;

during operation, adding a second concept and associated phrases to the speech recognition system;

decoding a second speech audio portion with the grammar;

comparing the decoded speech with each of the multiple phrases of the second concept; and

determining a matched phrase to the second speech audio portion.

18. The method of claim 17, wherein the second concept is associated with the first grammar.

19. The method of claim 17, wherein the second concept is associated with a second grammar.

20. The method of claim 17, wherein the first and second concepts are the same.