Browse State-of-the-Art › Voice Anti-spoofing
Voice Anti-spoofing
15 papers with code · 3 benchmarks · 6 datasets archive 2025-07-28
Discriminate genuine speech and spoofing attacks
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ASVspoof 2019 - LA (8 rows) | AASIST | AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal... | code | Syntology ran 11 of 12 samples · 1 unverified | Compare |
| ASVspoof 2019 - PA (1 row) | CQT&Face+SE-Res2Net+log-softmax | Cross-modal information fusion for voice spoofing detection | code | — | Compare |
| ASVspoof2019 (1 row) | FastAudio | FastAudio: A Learnable Audio Front-End for Spoof Speech Detection | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
6 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
15 shown of 15 papers with code (23 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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3 Apr 2021 3 repositories listed Syntology ran 7 of 18 samples · 11 unverifiedSpoofing countermeasure (CM) systems are critical in speaker verification; they aim to discern spoofing attacks from bona fide speech trials.
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27 Oct 2020 3 repositories listed Syntology ran 0 of 10 samples · 10 unverifiedHuman voices can be used to authenticate the identity of the speaker, but the automatic speaker verification (ASV) systems are vulnerable to voice spoofing attacks, such as impersonation, replay, text-to-speech, and…
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3 Sep 2024 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)This work details our approach to achieving a leading system with a 1.
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4 Nov 2022 2 repositories listedOur previous research on one-class learning has improved the generalization ability to unseen attacks by compacting the bona fide speech in the embedding space.
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8 Nov 2021 2 repositories listed Syntology ran 3 of 10 samples · 7 unverifiedThis 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.
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4 Oct 2021 2 repositories listed Syntology ran 11 of 12 samples · 1 unverifiedArtefacts that differentiate spoofed from bona-fide utterances can reside in spectral or temporal domains.
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6 Apr 2019 2 repositories listedThis paper introduces a new database of voice recordings with the goal of supporting research on vulnerabilities and protection of voice-controlled systems (VCSs).
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21 May 2025 1 repository listedASVspoof challenges are designed to advance the understanding of spoofing speech attacks and encourage the development of robust countermeasure systems.
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21 Mar 2024 1 repository listedIn contrast to existing methods that fine-tune SSL models and employ additional deep neural networks for downstream tasks, we exploit classical machine learning algorithms such as logistic regression and shallow neural…
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29 Sep 2023 1 repository listedThe 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.
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1 Feb 2023 1 repository listedResearchers have proposed many methods to defend against these attacks, but in the existing methods, researchers just focus on speech features.
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6 Sep 2021 1 repository listedThe FastAudio front-end achieves a relative improvement of 27% when compared with fixed front-ends, outperforming all other learnable front-ends on this task.
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5 Sep 2021 1 repository listedMany 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.
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11 Jun 2021 1 repository listedWhether 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.
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16 Apr 2019 1 repository listedWhen combined with the decision-level feature switching (DLFS) paradigm, the best TD-SNN system outperforms the best baseline GMM system on evaluation data with a relative improvement of 48.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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