Fuzzy statement recognition method and system applied to multi-person mixed scene

A sentence recognition and fuzzy technology, applied in the field of artificial intelligence, can solve problems such as fuzzy sentences cannot be correctly recognized, and achieve the effects of wide applicability, low labor overhead, and strong anti-interference

Active Publication Date: 2021-08-06
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0006] The purpose of the present invention is to provide a fuzzy sentence recognition and system applied in the mixed scene of many people, which mainly solves the pr

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  • Fuzzy statement recognition method and system applied to multi-person mixed scene
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  • Fuzzy statement recognition method and system applied to multi-person mixed scene

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[0085] The present invention will be described in more detail below with reference to the embodiments and the drawings, but the embodiments of the present invention are not limited thereto.

[0086] The exemplary embodiment will be described in detail herein, and examples thereof are shown in the drawings. The embodiment described in the exemplary embodiments will not represent all embodiments consistent with the present invention. In contrast, examples of apparatus and methods consistent with some aspects of the invention, as detailed in the appended claims.

[0087] like figure 1 A fuzzy statement identification method applied to multiplayer mixed scenes, including the following steps:

[0088] Step S1, the speech signal collected in the multiplayer mixed scene is converted into a blurred statement text, and the pretreatment includes a word, replacement, and delete processing;

[0089] Pretreatment of the blurred statement text, including:

[0090] Treatment of the blurred phras...

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Abstract

The invention discloses a fuzzy statement recognition method and system applied to a multi-person mixed scene. The method comprises the steps of S1, collecting a voice signal in real time, converting the voice signal into a fuzzy statement text, and preprocessing the fuzzy statement text; S2, performing pinyin-level text error correction on the fuzzy statement text by using an end-to-end pinyin-level text error correction model to obtain a pinyin-level error-free text; S3, performing semantic-level text error detection on the pinyin-level error-free text to obtain the position of an error font; and S4, performing semantic-level correction on the text to obtain a text with clear semantics. According to the method, the text with clear semantics can be recovered from the fuzzy statement text through automatic pinyin-level text error correction and semantic-level text error correction, and the user statement can be recognized more accurately in a multi-person mixed scene.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a fuzzy sentence recognition method and system applied to a scene where multiple people are mixed. Background technique [0002] In natural language processing, fuzzy sentences mainly refer to sentences containing homophonic or near-sounding words, incorrectly used words, and redundant words, which may easily cause the phenomenon that the language processing model cannot be recognized clearly and cannot be processed. The current robot customer service in the business hall is often in a mixed scene where many people are talking at the same time, resulting in the robot customer service not being able to accurately obtain the information that the users who are interacting with it want to express, and the service quality is greatly reduced. Therefore, how to transform fuzzy sentences into semantically accurate sentences is particularly important. Most of the existing...

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Application Information

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IPC IPC(8): G10L15/20G10L15/16G10L15/06G06F40/30G06F16/63G06N3/04
CPCG10L15/20G10L15/16G10L15/063G06F40/30G06F16/63G06N3/045
Inventor 何克晶李俊仪
Owner SOUTH CHINA UNIV OF TECH
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