Automatic speech recognition tuning management

1. A method for automatic speech recognition tuning management comprising:

collecting an utterance in a database;

analyzing the utterance by a processor;

providing at least one option to facilitate correct transcription of the utterance, wherein providing the at least one option comprises:

providing a transcription dictionary based upon a context provided by a translation of the utterance; and

providing a transcription spelling correction based upon the context provided by the translation of the utterance;

correlating the collected utterance to the utterance analysis;

correlating the transcription of the utterance to the translation of the utterance;

reporting a metric pertaining to the transcription of the utterance and the translation of the utterance;

providing at least two filters to create the transcription, the at least two filters include a simple filter and an advanced filter;

wherein the simple filter is configured to turn the collecting on and off;

wherein the advanced filter is configured to customize the collecting; and

fetching, by the processor, at least one of:

the collected utterance;

the utterance analysis; and

the correlation of the collected utterance to the utterance analysis.

2. The method of claim 1 comprising:

storing the collected utterance.

3. The method of claim 1 comprising:

storing the utterance analysis.

4. The method of claim 1 comprising:

receiving the fetched utterance as an audible communication.

5. The method of claim 1 comprising:

receiving the fetched analysis as a text communication.

6. The method of claim 1 comprising:

logging the time of the utterance collection.

7. The method of claim 1 comprising:

logging the date of the utterance collection.

8. The method of claim 1 comprising:

filtering the utterance collection by at least one of:

a day of week;

a time of day;

a call per hour;

a percentage of the calls; and

a number of the calls.

9. The method of claim 1 comprising:

categorizing the analyzed utterance.

10. The method of claim 1 comprising:

receiving the transcription of the collected utterance.

11. A non-transitory computer readable storage medium comprising instructions for:

receiving an utterance in a database;

providing at least one option to facilitate correct transcription of the utterance, wherein providing the at least one option comprises:

providing a transcription dictionary based upon a context provided by a translation of the utterance; and

providing a transcription spelling correction based upon the context provided by the translation of the utterance;

receiving the transcription of the utterance by a processor;

receiving the translation of the utterance by the processor;

relating the received utterance to at least one of:

the utterance transcription; and

the utterance translation;

correlating the transcription of the utterance to the translation of the utterance;

reporting a metric pertaining to the transcription of the utterance and the translation of the utterance;

providing at least two filters to create the transcription, the at least two filters include a simple filter and an advanced filter;

wherein the simple filter is configured to turn the receiving of the utterance on and off;

wherein the advanced filter is configured to customize the receiving of the utterance; and

fetching at least one of:

the received utterance;

the utterance transcription;

the utterance translation; and

the relation.

12. The non-transitory computer readable storage medium of claim 11 wherein:

the receiving of the transcription is from a plurality of users.

13. The non-transitory computer readable storage medium of claim 11 wherein:

the translation is in at least one of the following formats:

voice extensible markup language;

class; and

speech application language tags.

14. The non-transitory computer readable storage medium of claim 11 comprising instructions for:

providing a textual representation of a prompt a caller responded to while the utterance was received.

15. The non-transitory computer readable storage medium of claim 11 comprising instructions for:

sending an instant message based upon the translation to a transcriptionist.

16. The non-transitory computer readable storage medium of claim 11 comprising instructions for:

determining a confidence level of the translation based upon the transcription.

17. The non-transitory computer readable storage medium of claim 11 comprising instructions for:

determining a pathway taken by the received utterance.

18. A system for automatic speech recognition tuning management comprising:

a memory; and

a processor communicably coupled to the memory, wherein the processor:

provides at least one option to facilitate correct transcription of an utterance, wherein providing the at least one option comprises:

providing a transcription dictionary based upon a context provided by a translation of the utterance; and

providing a transcription spelling correction based upon the context provided by the translation of the utterance;

receives the transcription of the utterance;

receives the translation of the utterance;

correlates the transcription to the translation;

provide at least two filters to create the transcription, the at least two filters include a simple filter and an advanced filter;

wherein the simple filter is configured to turn the transcription of the utterance on and off;

wherein the advanced filter is configure to customize the transcription of the utterance; and

reports a metric pertaining to the transcription of the utterance and the translation of the utterance.