Method for automatically switching speech recognition engines

Abstract

The invention provides a method for automatically switching speech recognition engines. The method comprises the following steps: before using an on-line dictation engine and an on-line recognition engine, detecting the network communication quality, judging the focusing condition, switching to the on-line dictation engine when the network communication quality is good and the focusing is in an edit box, directly switching to an off-line recognition engine when the network communication quality is poor, switching to an on-line recognition engine when the network communication quality is good and the focusing is not in the edit box, judging that whether a command word is an editable command or not according to the recognition result of the on-line recognition engine, switching to the on-line dictation engine when the network communication quality is good and the command word is the editable command, carrying out automatic jump-out when the network communication quality is poor and the command word is the editable command, and continuing to use the on-line recognition engine when the command word is the not editable command, therefore, the automatic switchover among the on-line dictation engine, the on-line recognition engine and the off-line recognition engine is realized, and the network resources and network resources consumed when the on-line engines and a server establish relationship are greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of speech recognition, and relates to a method for switching speech recognition engines, in particular to a method for automatically switching speech recognition engines. Background technique [0002] Talking to a machine so it can understand what you say has been a long-held dream. The image of the China Internet of Things School-Enterprise Alliance compares speech recognition to "the auditory system of a machine". Speech recognition technology is a high technology that allows machines to convert voice signals into corresponding text or commands through the process of recognition and understanding. Speech recognition technology mainly includes three aspects: feature extraction technology, pattern matching criteria and model training technology. Voice recognition technology has also been fully used in the Internet of Vehicles. For example, in the Internet of Wing trucks, you only need to press the key to t...

AI Technical Summary

Problems solved by technology

[0003] Existing speech recognition software is basically based on the technology of online recognition engine and online dictation engine. Since both online recognition engine and online dictation engine need to establish contact with the server when they work, if they cannot be switched in specific applications, it will be extremely difficult. Large consumption of network resources and system resources

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