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Man-machine conversation voice intention recognition method, device and equipment and storage medium

A technology of man-machine dialogue and recognition methods, applied in semantic analysis, natural language data processing, instruments, etc., can solve the problems of inability to understand professional samples and low recognition accuracy of intent recognition models, and improve the poor generalization of phrases Effect

Pending Publication Date: 2021-11-26
PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
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Problems solved by technology

Since it is often impossible to adaptively understand professional samples (customer service utterances) in the process of machine learning, when the intention of the actual utterance is different from the intention of the sample understood by the machine, the recognition accuracy of the intention recognition model is not high

Method used

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  • Man-machine conversation voice intention recognition method, device and equipment and storage medium
  • Man-machine conversation voice intention recognition method, device and equipment and storage medium
  • Man-machine conversation voice intention recognition method, device and equipment and storage medium

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0029] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

[0030] It should be understood that the terms used in the specification of this application are for the purpose of ...

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Abstract

The invention relates to the technical field of AI, and discloses a man-machine conversation voice intention recognition method and device, equipment and a storage medium.The method comprises steps of obtaining phrases contained in to-be-recognized man-machine conversation voice information; segmenting each phrase to obtain phrase segmented words of each category, and generalizing the phrase segmented words of each category by using a preset generalization word list to obtain phrase generalization segmented words of each category; determining the importance weight of each phrase generalization segmented word in the category to which the phrase generalization segmented word belongs, and performing adversarial training on the speech recognition model by using each phrase generalization segmented word and the importance weight of each phrase generalization segmented word in the category to which the phrase generalization segmented word belongs to obtain an adversarial speech recognition network; and according to the adversarial voice recognition network, recognizing the semantic category to which each phrase contained in the man-machine conversation voice information belongs. The problem of inaccurate recognition caused by poor phrase generalization in speech intention recognition is solved.

Description

technical field [0001] The present application relates to the field of AI technology, and in particular to a method, device, device, and storage medium for human-machine dialogue speech intent recognition. Background technique [0002] At present, in the use of big data models to recognize speech intent in human-computer dialogue, the accuracy of the intent recognition model depends on the samples used by the intent model and the degree of learning of the samples used during the training process. Since it is often impossible to adaptively understand professional samples (customer service utterances) in the process of machine learning, when the intention of the actual utterance is different from the intention of the sample understood by the machine, the recognition accuracy of the intention recognition model is not high. Therefore, how to improve the accuracy of the intention recognition model in the model used for man-machine dialogue intent recognition is an urgent technica...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/35G06F40/279G06F40/30
CPCG06F16/3329G06F16/3343G06F16/35G06F40/279G06F40/30
Inventor 南海顺
Owner PINGAN PUHUI ENTERPRISE MANAGEMENT CO LTD
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