Conversation forecasting based online identification and offline identification switching method and system for robot

Abstract

The present invention discloses a conversation forecasting based online and offline identification switching method and system for robot. The method comprises the following steps that: the robot initiates a voice instruction; the voice instruction is matched with statements in a knowledge database of the robot; according to an answer mode of matching, engines are selected for identification; if an instruction with high identification rate needs to be obtained, offline identification is carried out; if an intelligent voice answer needs to be obtained, online identification is carried out; an identification result is output to the robot; the robot intelligently and selectively does the actions according to the identification result. Online identification and offline identification are combined for conversation forecasting; words or individual characters are identified by using the offline engine; and complete sentences are identified by using the online engine; so that the identification rate is increased; online and offline identification modes are effectively combined for achieving more effective communication between a user and the robot.

Description

technical field [0001] The present invention relates to the technical field of robots, in particular to a method and system for identifying and switching between online and offline for robots based on dialogue prediction. Background technique [0002] A robot is a machine device that can perform work automatically. It can receive human commands, run pre-programmed programs, and act according to principles and programs formulated with artificial intelligence technology. Its task is to assist or replace human work, for example, it can be engaged in production industry, construction industry or work with harsh and dangerous working conditions. [0003] Existing robots mainly use speech, either online recognition or offline recognition. These two methods have their own advantages and disadvantages. The advantage of online recognition is that it will match the collected audio data in a huge speech library to generate The matching results will cover a wide range. It is better...

AI Technical Summary

Problems solved by technology

[0003] Existing robots mainly use speech, either online recognition or offline recognition. These two methods have their own advantages and disadvantages. The advantage of online recognition is that it will match the collected audio data in a huge speech library to generate The matching results will cover a wide range. It is better for complete sentence recognition. The disadvantage is that it is difficult to recognize words or characters, and deviations are prone to occur. The advantage of offline recognition is that it will be matched in the local limited knowledge base based on the collected audio data. The generated matching result must be the one we expected. The disadvantage is that it can only recognize limited commands.

[0004] Since the existing technology can only choose one of them for speech recognition, and cannot intelligently recognize the required results, it cannot meet the needs of the robot market.

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