Voice recognition method, voice recognition device and voice recognition system

Abstract

The invention relates to a voice recognition method, a voice recognition device and a voice recognition system. The voice recognition method comprises the following steps: preprocessing picked voice data to obtain preprocessed voice data; extracting voice features in the preprocessed voice data; matching the voice features with a local voice feature database, and if the matching is unsuccessful, sending a first voice recognition request to a target server; receiving a first voice recognition response which includes the matching result of the voice features and the local voice feature database through the target server returned by the target server and sending a second voice recognition request to the target server when the first voice recognition response presents that the matching is unsuccessful, and receiving a second voice recognition response returned by the target server, wherein the second voice recognition response comprises a voice recognition result obtained after the preprocessed voice data is sent to a manual translation terminal to be manually translated. According to the technical scheme of the embodiment of the invention, the voice recognition rate of an intelligent terminal is greatly improved.

Description

Technical field [0001] The present invention relates to the field of information technology, in particular to a voice recognition method, a voice recognition device and a voice recognition system. Background technique [0002] With the development of information technology, the application of voice recognition technology has become more and more extensive. For example, more and more manufacturers of smart terminals (such as smart phones and smart tablets) have adopted voice assistants as a standard configuration, gradually turning on personification However, the current speech recognition accuracy rate is still not 100%, even if a relatively standard pronunciation is used, it can only achieve about 90%. If the daily spoken pronunciation or dialect accent is used, the accuracy rate is even better. Will drop significantly, greatly affecting the user experience. With the development of robotics technology, the application of robots will become more and more extensive. In the future...

AI Technical Summary

Problems solved by technology

In order to improve the accuracy of recognition, the current improved speech recognition technology has added a learning function. By learning and correcting the speech feature library, it can improve the problem of low recognition rate caused by non-standard personal speech or dialect accent. However, due to the increased learning process, It is inconsistent with normal user habits and has a great impact on user experience. At the same time, it can only increase the recognition rate to that close to the standard pronunciation. There are still problems in practical applications, and the accuracy rate is still not very high.

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