Self-adaptive identification method and system

A recognition method and self-adaptive technology, applied in the field of information interaction, can solve problems such as large system overhead, deviation from user personalized data, and consumption of large system resources, so as to improve recognition accuracy, improve system recognition efficiency, and reduce system overhead Effect

Active Publication Date: 2017-03-01
IFLYTEK CO LTD
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Problems solved by technology

However, because the obtained user-related documents often contain a large amount of data information that has nothing to do with the user, such as spam, which directly deviates from the user's personalized data, resulting in less useful user data obtained according to the user-related documents. It is prone to data sparsity, which makes the built user language model less rel

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  • Self-adaptive identification method and system
  • Self-adaptive identification method and system
  • Self-adaptive identification method and system

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[0081] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and implementation manners.

[0082] The self-adaptive recognition method and system provided by the embodiments of the present invention use the user's personalized dictionary to construct a language model, so that the language model not only has global characteristics, but also considers the individual characteristics of each user. Therefore, when the language model is used to recognize the information input by the user, the original recognition effect can be guaranteed, and the recognition accuracy of the user's personalized words can be greatly improved.

[0083] Such as figure 1 Shown is a flowchart of an adaptive identification method according to an embodiment of the present invention, which includes the following steps:

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Abstract

The invention discloses a self-adaptive identification method and system wherein the system comprises: according to a user's historical corpus, establishing a customized dictionary; clustering the customized words in the user's customized dictionary to obtain the type number of each customized word; constructing language models according to the type numbers of the customized words; during the identification of the inputted information of the user, if the words contained in the information exist in the user's customized dictionary, expanding the de-coding paths according to the type numbers of the customized words corresponding to the words; decoding the information according to the expanded decoding paths to obtain a plurality of selective decoding results; according to the language models, calculating the scores of the language models of the selective decoding results; and selecting the selective decoding result whose language model obtains the highest score as the information identification result. With the method and system of the invention, it is possible to increase the identification accuracy for a user's customized words and the consumption of the system can be reduced.

Description

technical field [0001] The invention relates to the technical field of information interaction, in particular to an adaptive identification method and system. Background technique [0002] With the continuous development of natural language understanding technology, the interaction between users and smart terminals has become more and more frequent, and it is often necessary to input information to smart terminals by voice or pinyin. The smart terminal recognizes the input information and makes corresponding operations according to the recognition results. Under normal circumstances, when the user inputs a common sentence by voice, such as "today's weather is good", "let's go to eat together", etc., the smart terminal system will basically give correct recognition results. However, when the user input information contains user-specific information, the smart terminal system often cannot give correct recognition results. User-specific information generally refers to personal...

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Application Information

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IPC IPC(8): G10L15/183
Inventor 丁克玉余健王影胡国平胡郁刘庆峰
Owner IFLYTEK CO LTD
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