Patent ID: 11893994
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method, comprising:
receiving first audio data representing a user request by a speech processing-enabled device;
generating, by an automatic speech recognition (ASR) component, first text data representing the user request;
determining a first natural language understanding (NLU) process to process the first text data to determine a first semantic interpretation of the first text data using a first set of NLU processing actions associated with the first NLU process;
determining a second NLU process for processing the first text data to determine a second semantic interpretation of the first text data using a second set of NLU processing actions associated with the second NLU process;
executing the first NLU process, comprising:
generating first intermediate NLU result data; and
generating first feature data from the first intermediate NLU result data;

executing the second NLU process in parallel with executing the first NLU process, comprising:
generating second intermediate NLU result data; and
generating second feature data from the second intermediate NLU result data;

inputting the first feature data and the second feature data into a reinforcement machine learning model;
determining, by the reinforcement machine learning model using the first feature data and the second feature data, that the first NLU process is preferred with respect to the second NLU process based on at least one of first accuracy characteristics or first latency characteristics of the first NLU process and based on at least one of second accuracy characteristics or second latency characteristics of the second NLU process;
determining at least one updated parameter of the reinforcement machine learning model using a reward function;
determining a first final result from the first NLU process; and
terminating the second NLU process.