语音伪造检测的技术进展与挑战综述

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中图分类号：TP391.4；TN912.3 文献标识码：A 文章编号：2096-4706（2026）03-0183-07

Abstract： As a natural and convenient interaction mode，speech is widely appied in numerous fields.Speech Spoofing Detectiontechnologyhasbecomeakeytechnologyforensuringthesecurityofspeechverifcationandrecognitionsystems.With therapiddevelopmentofText-to-Speech（TTS）synthesis，VoiceConversion（VC）andDeepfaketechnologies，thegeneation qualityandcomplexityofspoofedspeecharegreatlyimproved，whichposesseverechalenges toSpeech SpoofingDetection. This paper systematicallyreviews the technologicaladvancement in the fieldof Speech Spoofing Detection，covering the mainstream methods basedonacoustic features and Dep Learning.Itfirst discuses the main types of speech spoofing attcks， TTS-geerated speech and VC-spoofed speech. It then analyzes the current mainstream detection models and performance metrics.Itfinally explores the limitations of existing methodsand presents thekeyproblems tobe solvedurgently in future research.Through a comprehensive analysis of Speech Spoofing Detection techniques，this paper provides new insights for research in this field.

Keywords： automatic speaker verification; spoofing atack; Speech Spoofing Detection; spoofing countermeasure

0 引言

语音作为一种自然、便捷的交互方式，已广泛应用于诸多领域。（剩余14686字）