Towards single integrated spoofing-aware speaker verification embeddings
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Abstract (arXiv)
This study aims to develop a single integrated spoofing-aware speaker verification (SASV) embeddings that satisfy two aspects. First, rejecting non-target speakers' input as well as target speakers' spoofed inputs should be addressed. Second, competitive performance should be demonstrated compared to the fusion of automatic speaker verification (ASV) and countermeasure (CM) embeddings, which outperformed single embedding solutions by a large margin in the SASV2022 challenge. We analyze that the inferior performance of single SASV embeddings comes from insufficient amount of training data and distinct nature of ASV and CM tasks. To this end, we propose a novel framework that includes multi-stage training and a combination of loss functions. Copy synthesis, combined with several vocoders, is also exploited to address the lack of spoofed data. Experimental results show dramatic improvements, achieving a SASV-EER of 1.06% on the evaluation protocol of the SASV2022 challenge.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 26 of its 44 references that are in the map. First posted on arXiv 30 May 2023.
Builds on
26 of 44 references.
References · 26
- 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
- 2018VoxCeleb2: Deep Speaker Recognitioncited by 875
- 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 628
- 2018WaveGlow: A Flow-based Generative Network for Speech Synthesiscited by 309
- 2021AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networkscited by 180
- 2020DDSP: Differentiable Digital Signal Processingcited by 178
- 2021ASVspoof 2021: accelerating progress in spoofed and deepfake speech detectioncited by 161
- 2020In defence of metric learning for speaker recognitioncited by 126
- 2021Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verificationcited by 78
- 2021WaveFake: A Data Set to Facilitate Audio Deepfake Detectioncited by 78
- 2020Speaker Recognition Based on Deep Learning: An Overviewcited by 59
- 2022MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verificationcited by 47
14 more
- 2020Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020cited by 36
- 2018Neural source-filter-based waveform model for statistical parametric speech synthesiscited by 22
- 2020The ins and outs of speaker recognition: lessons from VoxSRC 2020cited by 21
- 2022Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoderscited by 20
- 2022SASV 2022: The First Spoofing-Aware Speaker Verification Challengecited by 19
- 2022Frequency and Multi-Scale Selective Kernel Attention for Speaker Verificationcited by 10
- 2020Integrated Replay Spoofing-aware Text-independent Speaker Verificationcited by 6
- 2022Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusioncited by 6
- 2022The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challengecited by 4
- 2022A Probabilistic Fusion Framework for Spoofing Aware Speaker Verificationcited by 3
- 2022On the potential of jointly-optimised solutions to spoofing attack detection and automatic speaker verificationcited by 2
- 2022SA-SASV: An End-to-End Spoof-Aggregated Spoofing-Aware Speaker Verification Systemcited by 1
- 2022Backend Ensemble for Speaker Verification and Spoofing Countermeasurecited by 1
- 2023Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifactscited by 1
Built on by
Citing papers per year: 2024: 4; 2025: 2; 2026: 1.
7 papers.
- 2024ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scalecited by 91
- 2024SpoofCeleb: Speech Deepfake Detection and SASV In The Wildcited by 22
- 2024a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verificationcited by 6
- 2026Assessing the Impact of Speaker Identity in Speech Spoofing Detectioncited by 5
- 2025PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detectioncited by 3
- 2024To what extent can ASV systems naturally defend against spoofing attacks?cited by 1
- 2025WildSpoof Challenge Evaluation Plancited by 1
- 2026Assessing the Impact of Speaker Identity in Speech Spoofing Detection24 Feb 2026
- 2025WildSpoof Challenge Evaluation Plan23 Aug 2025
- 2025PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detection28 Jun 2025
- 2024SpoofCeleb: Speech Deepfake Detection and SASV In The Wild18 Sep 2024
- 2024ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale16 Aug 2024
- 2024To what extent can ASV systems naturally defend against spoofing attacks?8 Jun 2024
- 2024a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification3 Mar 2024