Spoken language understanding device and spoken language understanding system

摘要

PROBLEM TO BE SOLVED: To provide a device and a system for understanding the voice word capable of firmly and correctly understanding the voice, and executing the appropriately responding processing compared with the conventional technology. SOLUTION: An MCE learning part 30 learns a hidden Markov model to convert sentence data into intermediate words corresponding thereto so that the discrimination error is minimized based on the learned data. An intermediate word generation part 21 converts the voice sentence of the result of the speech recognition which is speech recognized and includes the retrieval condition using a hidden Markov model to convert the sentence data into the intermediate words corresponding thereto. After a command execution part 22 coverts the generated intermediate words into the prescribed database words corresponding to the database, it retrieves the database based on the retrieval condition included in the database words, acquires the data to satisfy the retrieval condition, and executes the processing responding to the intermediate words on the data.