首页> 外国专利> VOICE-BASED PERSONAL CREDIT ASSESSMENT METHOD AND APPARATUS, TERMINAL AND STORAGE MEDIUM

VOICE-BASED PERSONAL CREDIT ASSESSMENT METHOD AND APPARATUS, TERMINAL AND STORAGE MEDIUM

机译:基于语音的个人信用评估方法和设备,终端和存储介质

摘要

A voice-based personal credit assessment method and apparatus, a terminal and a storage medium, relating to the technical field of artificial intelligence. The method comprises: acquiring the voice of a user (S11); extracting a voiceprint feature vector in the voice (S12); identifying a dialect of the user according to the voiceprint feature vector (S13); identifying the gender and the age of the user according to the voice (S14); generating a user personal information report according to the dialect, the gender and the age of the user (S15); outputting a user credit assessment result after comparing the user personal information report with personal data of the user (S16). According to the method, the voice of the user is subjected to information extraction and analysis of a plurality of dimensions, the gender, the age and the area of the user can be genuinely and comprehensively reflected by the extracted information of the plurality of dimensions, and finally, when in comparison with the personal data, the assessed personal credit accuracy is higher, more comprehensive and objective. The present invention can be used in smart government affairs to promote the construction of smart cities. The present invention is also applicable to the field of financial technology.
机译:基于语音的个人信用评估方法和设备,终端和存储介质,与人工智能技术领域有关。该方法包括:获取用户的语音(S11);在语音中提取声音特征向量(S12);根据VoicePrint特征向量识别用户的方言(S13);根据声音识别用户的性别和年龄(S14);根据方言,性别和用户年龄生成用户个人信息报告(S15);在将用户个人信息报告与用户的个人数据进行比较后输出用户信用评估结果(S16)。根据该方法,用户的语音经受来自多个维度的多个维度,性别,年龄和区域的信息提取和分析,可以由多个维度的提取信息真实并且全面地反射,最后,当与个人数据相比,评估的个人信贷准确性更高,更全面和目标。本发明可用于智能政府,以促进智能城市的建设。本发明也适用于金融技术领域。

著录项

  • 公开/公告号WO2021047319A1

    专利类型

  • 公开/公告日2021-03-18

    原文格式PDF

  • 申请/专利号WO2020CN105632

  • 发明设计人 XIANG CHUNYU;

    申请日2020-07-29

  • 分类号G10L15/02;G10L17/04;

  • 国家 CN

  • 入库时间 2022-08-24 17:49:33

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