High-efficient voice instruction recognition method based on fuzzy theory and expert system

An expert system, voice command technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of reducing the accuracy of speech recognition, difficulty in speech recognition, etc., to achieve good training effect, improve the effect of speech recognition rate

CN102063902AInactive Publication Date: 2011-05-18黄安祥 +4
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2011-05-18
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a high-efficient voice instruction recognition method based on a fuzzy theory and an expert system, which mainly comprises the following steps of: A. establishing a flight knowledge base and an instruction library; B. performing fuzzy voice recognition; and C. performing reasoning judgment on voice by using a voice recognition expert system to obtain instructions. Proved by practices, by the application of the high-efficient voice instruction recognition method based on the fuzzy theory and the expert system disclosed in the invention, ten voice instructions which are mostly close to a training template are recognized through fuzzy recognition, and then the expert system is used for reasoning and judging the ten instructions one by one from the instruction mostly close to the training template to exclude unreasonable voice instructions and finally find out the instruction mostly suitable to the practice, and thus the voice recognition rate reaches more than 99 percent. Moreover, the system real-time property can be realized; the requirements of flight simulation training are met; and good training effect is achieved.
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Description

technical field

[0001] The present invention relates to the technical field of voice recognition, especially the voice recognition technology including human-computer interaction technology and artificial intelligence technology. Background technique

[0002] Current Speech Recognition Technology:

[0003] The current mainstream speech recognition technology is based on the basic theory of statistical pattern recognition. A complete speech recognition system can be roughly divided into three parts:

[0004] Speech Feature Extraction: Its purpose is to extract the sequence of speech features that change over time from the speech waveform.

[0005] ·Acoustic model and pattern matching (recognition algorithm): The acoustic model is usually generated through a learning algorithm from the acquired speech features. During recognition, the input speech features are matched and compared with the acoustic model (mode) to obtain the best recognition results.

[0006] ·Language mod...

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Embodiment Construction

[0050] In the application of the voice command simulation system, the present invention designs a voice command scheme which adopts fuzzy recognition technology combined with an expert system. Such as figure 1 As shown, it mainly consists of the control program for managing all databases, fuzzy identification, expert system, system communication and system output. When the voice command simulation system is started, the management program can control the flight rule library, flight instruction library, voice template library, flight plan library, special situation Library and voice response library are initialized, which to some extent limits and narrows the scope of searching for the command library according to the actual situation; The ten templates with the closest passwords; then the expert system will reason, judge, and verify the recognized command password set to determine a correct and effective command password; when the command password is determined, the system fi...