Wakeword detection
Techniques for processing input data for a detected user are described. Received image data is processed to identify an indicated user. Based on the user a machine learning model is implemented. The machine learning model is then used to process input data for a user input. An action is performed using the resulting output data.
1. A computer-implemented method, comprising:
receiving image data;
processing the image data to determine a first user is represented in the image data;
based at least in part on the first user being represented in the image data, implementing a first machine learning model;
receiving input data representing a user input;
processing the input data using the first machine learning model to determine output data; and
performing an action using the output data.
2. The computer-implemented method of claim 1 , wherein receiving the input data comprises receiving audio data representing user speech.
3. The computer-implemented method of claim 1 , wherein implementing the first machine learning model occurs prior to receiving the input data.
4. The computer-implemented method of claim 1 , wherein the first machine learning model comprises a wakeword detection model.
5. The computer-implemented method of claim 1 , further comprising:
selecting the first machine learning model from a plurality of machine learning models including at least the first machine learning model and a second machine learning model different from the first machine learning model.
6. The computer-implemented method of claim 1 , wherein the first machine learning model is trained using data corresponding to the first user.
7. The computer-implemented method of claim 1 , wherein the first machine learning model is trained using data corresponding to speech of the first user.
8. The computer-implemented method of claim 1 , wherein the first machine learning model is associated with a first speech processing component of a plurality of speech processing components.
9. The computer-implemented method of claim 1 , wherein the first machine learning model is associated with a first companion application of a plurality of applications.
10. The computer-implemented method of claim 1 , further comprising:
processing the output data to determine that the user input originated from the first user.
11. A system comprising:
at least one processor; and
at least one memory comprising instructions that, when executed by the at least one processor, cause the system to:
receive image data;
process the image data to determine a first user is represented in the image data;
based at least in part on the first user being represented in the image data, implement a first machine learning model;
receive input data representing a user input;
process the input data using the first machine learning model to determine output data; and
perform an action using the output data.
12. The system of claim 11 , wherein receiving the input data comprises receiving audio data representing user speech.
13. The system of claim 11 , wherein implementing the first machine learning model occurs prior to receiving the input data.
14. The system of claim 11 , wherein the first machine learning model comprises a wakeword detection model.
15. The system of claim 11 , wherein the at least one memory further comprises instructions that, when executed by the at least one processor, further cause the system to:
select the first machine learning model from a plurality of machine learning models including at least the first machine learning model and a second machine learning model different from the first machine learning model.
16. The system of claim 11 , wherein the first machine learning model is trained using data corresponding to the first user.
17. The system of claim 11 , wherein the first machine learning model is trained using data corresponding to speech of the first user.
18. The system of claim 11 , wherein the first machine learning model is associated with a first speech processing component of a plurality of speech processing components.
19. The system of claim 11 , wherein the first machine learning model is associated with a first companion application of a plurality of applications.
20. The system of claim 11 , wherein the at least one memory further comprises instructions that, when executed by the at least one processor, further cause the system to:
process the output data to determine that the user input originated from the first user.