Interactive speech recognition method based on cloud network

Abstract

The invention discloses an interactive speech recognition method based on a cloud network. The method comprises the following steps that: 1) a local speech recognition engine is established on a client, a remote speech recognition engine is established on a server, client speech is collected and speech characteristic information is extracted; 2) the client recognizes the speech characteristic information, if the local speech recognition engine recognizes successfully, identifying information is returned to a user; if the local speech recognition engine does not recognize successfully, the speech characteristic information is sent to the server; 3) the server uses the remote speech recognition engine to recognize the speech characteristic information, return an optimal recognition result information and send to the client, and the client scores aiming at the recognition result and sends to the server; 4) the server organizes a speech recognition database of the remote speech recognition engine according to the scoring of the client and synchronizes to the each client. The method has the following advantages that: a speech recognition effect is good; a self-learning function is possessed; usage is simple and convenient.

Description

technical field [0001] The invention relates to the field of interactive speech recognition, in particular to an interactive speech recognition method based on a cloud network. Background technique [0002] Speech recognition technology, also known as automatic speech recognition (English: Automatic Speech Recognition, ASR), its goal is to convert the lexical content of human speech into computer-readable input, such as keystrokes, binary codes, or character sequences. This differs from speaker recognition and speaker verification, which attempt to identify or identify the speaker of the speech rather than the lexical content contained in it. Applications of voice recognition technology include voice dialing, voice navigation, indoor equipment control, voice document retrieval, simple dictation data entry, etc. Speech recognition technology can be combined with other natural language processing technologies such as machine translation and speech synthesis to build more comp...

AI Technical Summary

Problems solved by technology

However, the current speech recognition method is generally implemented by a single machine, and the speech recognition database of the speech recognition engine cannot be updated, resulting in the speech recognition method being unable to realize self-learning, the recognition effect is not good, and the lack of effective interactive means, it is impossible for users to participate in speech recognition learning. and verification, making speech recognition methods limited by

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