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FRAUD IDENTIFICATION METHOD AND DEVICE COMBINING AUDIO ANALYSIS AND VIDEO ANALYSIS AND STORAGE MEDIUM

机译:结合音频分析,视频分析和存储介质的欺诈识别方法和装置

摘要

A fraud identification method and device which combine audio analysis and video analysis and a storage medium. The method comprises the following steps: cutting an audio/video sample to obtain audio/video clips, and assigning a fraud label for each audio/video clip (S10); decoding and preprocessing each audio/video clip to obtain an audio clip and a video clip for each audio/video clip (S20); extracting a voice feature and an emotional expression feature from each audio clip and video clip respectively (S30); training a support vector machine by using the voice feature of each audio clip and the emotional expression feature of each video clip in combination with the fraud label so as to obtain a voice analysis model and an emotional expression analysis model (S40); acquiring audio/video data of an object to be identified (S50); extracting a voice feature and an emotional expression feature of the audio/video data (S60); inputting the voice features and emotional expression features into the voice analysis model and emotional expression analysis model respectively, and outputting fraud probabilities P1 and P2 of the object to be identified (S70); and calculating the weight of P1 and P2 to obtain a fraud identification result of the object to be identified (S80).
机译:结合音频分析和视频分析以及存储介质的欺诈识别方法和装置。该方法包括以下步骤:切割音频/视频样本以获得音频/视频片段,以及为每个音频/视频片段分配欺诈标签(S10);对每个音频/视频片段进行解码和预处理以获得每个音频/视频片段的音频片段和视频片段(S20);分别从每个音频片段和视频片段中提取语音特征和情感表达特征(S30);通过将每个音频片段的语音特征和每个视频片段的情感表达特征与欺诈标签结合使用来训练支持向量机,以获得语音分析模型和情感表达分析模型(S40);获取待识别对象的音频/视频数据(S50);提取音频/视频数据的语音特征和情感表达特征(S60);将语音特征和情感表达特征分别输入到语音分析模型和情感表达分析模型中,并输出要识别的对象的欺诈概率P1和P2(S70);计算P1和P2的权重以获得待识别对象的欺诈识别结果(S80)。

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