Dynamic speech processing

1. A method implemented by a computing system, comprising:

receiving, from a first device associated with at least one user profile, first data;

determining that the first data corresponds to a first command;

determining a unique identifier (ID) associated with the at least one user profile;

determining an updated spoken command history by updating, based at least in part on the first data corresponding to the first command, a spoken command history stored by the computing system and associated with the unique ID;

determining, using the updated spoken command history, that the first command is associated with an input frequency satisfying an input frequency threshold;

determining that the first command is not included in a first speech-recognition language model stored by the first device;

generating a second speech-recognition language model including second data sufficient to determine text corresponding to the first command;

sending, to the first device, the second speech-recognition language model; and

sending, to the first device, a first instruction to delete the first speech-recognition language model.

2. The method of claim 1 , further comprising:

determining a portion of the second speech-recognition language model associated with a second command;

determining, using the updated spoken command history, that the second command is associated with a second input frequency falling below the input frequency threshold; and

sending, to the first device, a second instruction to delete the portion of the second speech-recognition language model associated with the second command.

3. The method of claim 1 , further comprising:

determining that the first command corresponds to a first intent;

generating natural language processing data usable to determine the first intent from text corresponding to the first command; and

sending the natural language processing data to the first device.

4. The method of claim 1 , further comprising:

receiving, from the first device, audio data corresponding to an utterance;

determining, using the updated spoken command history, that the utterance is associated with a second input frequency falling below the input frequency threshold;

performing speech processing on the input audio data to determine output data; and

sending the output data to the first device.

5. A computing system comprising:

at least one processor; and

at least one memory including instructions that, when executed by the at least one processor, cause the computing system to:

receive, from a first device associated with a user profile, first data;

determine that the first data corresponds to a first command;

determine an updated spoken command history by updating, based at least in part on the first data corresponding to the first command, a spoken command history stored by the computing system and associated with the user profile;

determine, using the updated spoken command history, that the first command is associated with an input frequency satisfying an input frequency threshold;

determine that the first command is at least in part not processable using first speech processing data stored by the first device;

generate second speech processing data including second data specific to the first command; and

send the second speech processing data to the first device.

6. The computing system of claim 5 , wherein the at least one memory further includes additional instructions that, when executed by the at least one processor, further cause the system to:

send, to the first device, an instruction to delete the first speech processing data.

7. The computing system of claim 5 , wherein the at least one memory further includes additional instructions that, when executed by the at least one processor, further cause the system to:

determine a second command represented in the second speech processing data;

determine, using the updated spoken command history, that the second command is associated with a second input frequency falling below the input frequency threshold; and

send, to the first device, an instruction to delete only a portion of the second speech processing data associated with the second command.

8. The computing system of claim 5 , wherein the second speech processing data includes data for performing speech recognition.

9. The computing system of claim 5 , wherein the at least one memory further includes additional instructions that, when executed by the at least one processor, further cause the system to:

determine that the first command corresponds to a first intent,

wherein the second speech processing data corresponds to natural language processing data specific to the first intent.

10. The computing system of claim 5 , wherein the at least one memory further includes additional instructions that, when executed by the at least one processor, further cause the system to:

receive, from the first device, audio data corresponding to a second command;

determine, using the updated spoken command history, that the second command is associated with a second input frequency falling below the input frequency threshold;

perform speech processing on the audio data to determine output data; and

send the output data to the first device.

11. The computing system of claim 5 , wherein the at least one memory further includes additional instructions that, when executed by the at least one processor, further cause the system to:

receive, from the first device, natural language processing results;

perform text-to-speech processing on the natural language processing results to generate output audio data; and

send the output audio data to the first device.

12. The computing system of claim 5 , wherein the second speech processing data includes data for performing text-to-speech processing.

13. A method implemented by a computing system, comprising:

receiving, from a first device associated with a user profile, first data;

determining that the first data corresponds to a first command;

determining an updated spoken command history by updating, based at least in part on the first data corresponding to the first command, a spoken command history stored by the computing system and associated with the user profile;

determining, using the updated spoken command history, that the first command is associated with an input frequency satisfying an input frequency threshold;

determining that the first command is at least in part not processable using first speech processing data stored by the first device;

generating second speech processing data including second data specific to the first command; and

sending the second speech processing data to the first device.

14. The method of claim 13 , further comprising

sending, to the first device, an instruction to delete the first speech processing data.

15. The method of claim 13 , further comprising:

determining a second command represented in the second speech processing data;

determining, using the updated spoken command history, that the second command is associated with a second input frequency falling below the input frequency threshold; and

sending, to the first device, an instruction to delete only a portion of the second speech processing data associated with the second command.

16. The method of claim 13 , wherein the second speech processing data includes data for performing speech recognition.

17. The method of claim 13 , further comprising:

determining that the first command corresponds to a first intent,

wherein the second speech processing data corresponds to natural language processing data specific to the first intent.

18. The method of claim 13 , further comprising:

receiving, from the first device, audio data corresponding to a second command;

determining, using the updated spoken command history, that the second command is associated with a second input frequency falling below the input frequency threshold;

performing speech processing on the input audio data to determine output data; and

sending the output data to the first device.

19. The method of claim 13 , further comprising:

receiving, from the first device, natural language processing results;

performing text-to-speech processing on the natural language processing results to generate output audio data; and

sending the output audio data to the first device.

20. The method of claim 13 , wherein the second speech processing data includes data for performing text-to-speech processing.