Papers Voice Anti-spoofing
“Voice Anti-spoofing” 태그가 달린 논문 25편 · 필터 해제
Probabilistic Verification of Voice Anti-Spoofing Models
Recent advances in generative models have amplified the risk of malicious misuse of speech synthesis technologies, enabling adversaries to impersonate target speakers and access sensitive resources. Although speech deepf…
Voice Anti-spoofingDeepFake DetectionSpeech SynthesisShortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics
The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidden biases within datasets and models can…
Speaker VerificationVoice Anti-spoofingASVspoof2019 vs. ASVspoof5: Assessment and Comparison
ASVspoof challenges are designed to advance the understanding of spoofing speech attacks and encourage the development of robust countermeasure systems. These challenges provide a standardized database for assessing and …
Speaker VerificationVoice Anti-spoofingTandem spoofing-robust automatic speaker verification based on time-domain embeddings
Spoofing-robust automatic speaker verification (SASV) systems are a crucial technology for the protection against spoofed speech. In this study, we focus on logical access attacks and introduce a novel approach to SASV t…
Speaker VerificationVoice Anti-spoofingSpoofing-Robust Speaker Verification Based on Time-Domain Embedding
Spoofing-robust speaker verification technology serves to safeguard voice-based authentication systems from fraudulent attempts. Such a system should be capable of detecting spoofed voice segments and verifying voice seg…
Audio Deepfake DetectionDeepFake DetectionSpeaker VerificationSynthetic Speech Detection+1Parallel Stacked Aggregated Network for Voice Authentication in IoT-Enabled Smart Devices
Voice authentication on IoT-enabled smart devices has gained prominence in recent years due to increasing concerns over user privacy and security. The current authentication systems are vulnerable to different voice-spoo…
Voice Anti-spoofingVoice CloningSpeech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024
This work details our approach to achieving a leading system with a 1.79% pooled equal error rate (EER) on the evaluation set of the Controlled Singing Voice Deepfake Detection (CtrSVDD). The rapid advancement of generat…
DeepFake DetectionFace SwappingVoice Anti-spoofingEasy, Interpretable, Effective: openSMILE for voice deepfake detection
In this paper, we demonstrate that attacks in the latest ASVspoof5 dataset -- a de facto standard in the field of voice authenticity and deepfake detection -- can be identified with surprising accuracy using a small subs…
DeepFake DetectionFace Swappingtext-to-speechText to Speech+1Exploring Green AI for Audio Deepfake Detection
The state-of-the-art audio deepfake detectors leveraging deep neural networks exhibit impressive recognition performance. Nonetheless, this advantage is accompanied by a significant carbon footprint. This is mainly due t…
Audio Deepfake DetectionCPUDeepFake DetectionFace Swapping+2LRPD: Large Replay Parallel Dataset
The latest research in the field of voice anti-spoofing (VAS) shows that deep neural networks (DNN) outperform classic approaches like GMM in the task of presentation attack detection. However, DNNs require a lot of data…
Voice Anti-spoofingComplex-valued neural networks for voice anti-spoofing
Current anti-spoofing and audio deepfake detection systems use either magnitude spectrogram-based features (such as CQT or Melspectrograms) or raw audio processed through convolution or sinc-layers. Both methods have dra…
Audio Deepfake DetectionDeepFake DetectionFace SwappingVoice Anti-spoofingCross-modal information fusion for voice spoofing detection
In recent years, speaker verification systems have been used in many production scenarios. Unfortunately, they are still very vulnerable to different kinds of spoofing attacks, such as speech synthesis attacks, replay at…
Automatic Speech Recognitionfake voice detectionSpeaker VerificationSpeech Synthesis+1SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing
Voice anti-spoofing systems are crucial auxiliaries for automatic speaker verification (ASV) systems. A major challenge is caused by unseen attacks empowered by advanced speech synthesis technologies. Our previous resear…
DiversitySpeaker VerificationSpeech SynthesisVoice Anti-spoofingRawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing
This paper introduces RawBoost, a data boosting and augmentation method for the design of more reliable spoofing detection solutions which operate directly upon raw waveform inputs. While RawBoost requires no additional …
Speaker VerificationVoice Anti-spoofingAASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Artefacts that differentiate spoofed from bona-fide utterances can reside in spectral or temporal domains. Their reliable detection usually depends upon computationally demanding ensemble systems where each subsystem is …
Audio Deepfake DetectionGraph AttentionVoice Anti-spoofingFastAudio: A Learnable Audio Front-End for Spoof Speech Detection
Voice assistants, such as smart speakers, have exploded in popularity. It is currently estimated that the smart speaker adoption rate has exceeded 35% in the US adult population. Manufacturers have integrated speaker ide…
Speaker IdentificationSpeaker VerificationVoice Anti-spoofingEfficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection
Many endeavors have sought to develop countermeasure techniques as enhancements on Automatic Speaker Verification (ASV) systems, in order to make them more robust against spoof attacks. As evidenced by the latest ASVspoo…
Speaker VerificationSpoof DetectionVoice Anti-spoofingVisualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing
Whether it be for results summarization, or the analysis of classifier fusion, some means to compare different classifiers can often provide illuminating insight into their behaviour, (dis)similarity or complementarity. …
Speaker VerificationVoice Anti-spoofingAn Initial Investigation for Detecting Partially Spoofed Audio
All existing databases of spoofed speech contain attack data that is spoofed in its entirety. In practice, it is entirely plausible that successful attacks can be mounted with utterances that are only partially spoofed. …
Voice Anti-spoofingAn Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems
Spoofing countermeasure (CM) systems are critical in speaker verification; they aim to discern spoofing attacks from bona fide speech trials. In practice, however, acoustic condition variability in speech utterances may …
Data AugmentationMulti-Task LearningSpeaker VerificationVoice Anti-spoofing