利用图神经网络检测合成音频文件

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-03-14 DOI:10.3103/S0146411624700846

O. A. Izotova, D. S. Lavrova

{"title":"利用图神经网络检测合成音频文件","authors":"O. A. Izotova, D. S. Lavrova","doi":"10.3103/S0146411624700846","DOIUrl":null,"url":null,"abstract":"<p>The problem of generalization of multimodal data in the detection of artificially synthesized audio files is studied. As a solution to the problem, a method is proposed that combines a one-time analysis of the characteristics of an audio file and its semantic component, presented in the form of text. The approach is based on graph neural networks and algorithmic approaches based on keyword and text sentiment analysis. The conducted experimental studies confirmed the validity and effectiveness of the proposed approach.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1212 - 1217"},"PeriodicalIF":0.6000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detecting Synthesized Audio Files Using Graph Neural Networks\",\"authors\":\"O. A. Izotova, D. S. Lavrova\",\"doi\":\"10.3103/S0146411624700846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The problem of generalization of multimodal data in the detection of artificially synthesized audio files is studied. As a solution to the problem, a method is proposed that combines a one-time analysis of the characteristics of an audio file and its semantic component, presented in the form of text. The approach is based on graph neural networks and algorithmic approaches based on keyword and text sentiment analysis. The conducted experimental studies confirmed the validity and effectiveness of the proposed approach.</p>\",\"PeriodicalId\":46238,\"journal\":{\"name\":\"AUTOMATIC CONTROL AND COMPUTER SCIENCES\",\"volume\":\"58 8\",\"pages\":\"1212 - 1217\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2025-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUTOMATIC CONTROL AND COMPUTER SCIENCES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0146411624700846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411624700846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}

引用次数: 0

摘要

研究了人工合成音频文件检测中多模态数据的泛化问题。为了解决这个问题，提出了一种将音频文件的特征和语义成分的一次性分析结合起来的方法，并以文本的形式呈现。该方法基于图神经网络和基于关键字和文本情感分析的算法方法。实验研究证实了该方法的有效性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Detecting Synthesized Audio Files Using Graph Neural Networks

查看原文本刊更多论文

Detecting Synthesized Audio Files Using Graph Neural Networks

The problem of generalization of multimodal data in the detection of artificially synthesized audio files is studied. As a solution to the problem, a method is proposed that combines a one-time analysis of the characteristics of an audio file and its semantic component, presented in the form of text. The approach is based on graph neural networks and algorithmic approaches based on keyword and text sentiment analysis. The conducted experimental studies confirmed the validity and effectiveness of the proposed approach.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

期刊介绍： Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision