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https://github.com/john852517791/awesome-fake-audio-detection

A list of tools, papers and code related to Fake Audio Detection.
https://github.com/john852517791/awesome-fake-audio-detection
List: awesome-fake-audio-detection
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A list of tools, papers and code related to Fake Audio Detection.
Host: GitHub
URL: https://github.com/john852517791/awesome-fake-audio-detection
Owner: john852517791
License: mit
Created: 2023-06-29T07:28:20.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2024-03-20T07:22:59.000Z (9 months ago)
Last Synced: 2024-05-21T22:00:49.922Z (7 months ago)
Size: 1.81 MB
Stars: 10
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project

ultimate-awesome - awesome-fake-audio-detection - A list of tools, papers and code related to Fake Audio Detection. (Other Lists / Monkey C Lists)
README

        # Awesome-fake-audio-detection![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)

A list of tools, papers and code related to Fake Audio Detection.. 

If you want to contribute to this list, welcome to send me a pull request or contact me :) 

This repo only collect papers related to FAD.  

Here is nothing about speech signal processing, speech synthesis, Speech Enhancement, data augmentation, voice conversion and speech edition. But learning them is beneficial to your research about FAD.

## Contents

- [Datasets](#datasets)

- [Competitions](#competitions)

- [Tools](#tools)

- [Recent Conference Papers](#recent-conference-papers)

- [different category](#category)

- [enlightening](#enlightening)

# survey

-  [Audio Anti-Spoofing Detection: A Survey](https://arxiv.org/abs/2404.13914) 

-  [Audio Deepfake Detection: A Survey](https://arxiv.org/abs/2308.14970) 

# datasets

- **ASVspoof2015-2017-2019-2021:** [website](https://www.asvspoof.org/database )

- **partial spoof**: [paper](https://arxiv.org/pdf/2204.05177.pdf) [dataset download](https://zenodo.org/record/5766198)

- **wavefake**:  [paper](https://arxiv.org/pdf/2111.02813.pdf)  [dataset download](https://zenodo.org/record/5642694#:~:text=WaveFake%3A%20A%20data%20set%20to%20facilitate%20audio%20DeepFake,finding%20new%20detection%20methods%20to%20prevent%20such%20attempts.) 

- **In-the-Wild:**  [website](https://deepfake-demo.aisec.fraunhofer.de/in_the_wild)  [paper](https://arxiv.org/pdf/2203.16263.pdf)  [dataset download](https://owncloud.fraunhofer.de/index.php/s/JZgXh0JEAF0elxa)

- **APTLY** [website](https://bil.eecs.yorku.ca/datasets/)

# competitions

- **ASVspoof:** https://www.asvspoof.org/

# tools

[asvspoof2021 baseline implementation](https://github.com/asvspoof-challenge/2021.git)

# whole pic (not completed yet)

![FAD](FAD.png)

# recent conference papers

## ICLR

### 2025(may will be accepted)

- I Can Hear You: Selective Robust Training for Deepfake Audio Detection [dataset paper](https://openreview.net/forum?id=GpUO6qYNQG)

- SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Toward Cutting-Edge Speech Generation Methods [dataset paper](https://openreview.net/forum?id=GpUO6qYNQG)

- Contrastive Learning from Synthetic Audio Doppelgängers [augmentation paper](https://openreview.net/forum?id=XRtyVELwr6)

## interspeech [website](https://www.isca-archive.org/index.html)

### 2024

⭐[ASVSPOOF5_2024](https://www.isca-archive.org/asvspoof_2024)

-  Anti-spoofing Ensembling Model: Dynamic Weight Allocation in Ensemble Models for Improved Voice Biometrics Security  [paper]( https://www.isca-archive.org/interspeech_2024/rosello24_interspeech.html )

-  Spoof Diarization: ""What Spoofed When"" in Partially Spoofed Audio  [paper]( https://www.isca-archive.org/interspeech_2024/zhang24j_interspeech.html )

-  Spoofing Speech Detection by Modeling Local Spectro-Temporal and Long-term Dependency  [paper]( https://www.isca-archive.org/interspeech_2024/wu24b_interspeech.html )

-  Improving Copy-Synthesis Anti-Spoofing Training Method with Rhythm and Speaker Perturbation  [paper]( https://www.isca-archive.org/interspeech_2024/lu24b_interspeech.html )

-  Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection  [paper]( https://www.isca-archive.org/interspeech_2024/truong24b_interspeech.html )

-  Source Tracing of Audio Deepfake Systems  [paper]( https://www.isca-archive.org/interspeech_2024/klein24_interspeech.html )

-  How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio?  [paper]( https://www.isca-archive.org/interspeech_2024/liu24m_interspeech.html )

-  Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis  [paper]( https://www.isca-archive.org/interspeech_2024/wang24l_interspeech.html )

-  SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures  [paper]( https://www.isca-archive.org/interspeech_2024/baser24_interspeech.html )

-  Interpretable Temporal Class Activation Representation for Audio Spoofing Detection  [paper]( https://www.isca-archive.org/interspeech_2024/li24oa_interspeech.html )

-  DGPN: A Dual Graph Prototypical Network for Few-Shot Speech Spoofing Algorithm Recognition  [paper]( https://www.isca-archive.org/interspeech_2024/ge24_interspeech.html )

-  CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems  [paper]( https://www.isca-archive.org/interspeech_2024/wu24p_interspeech.html )

-  Spoofed Speech Detection with a Focus on Speaker Embedding  [paper]( https://www.isca-archive.org/interspeech_2024/tran24_interspeech.html )

-  Exploring Self-supervised Embeddings and Synthetic Data Augmentation for Robust Audio Deepfake Detection  [paper]( https://www.isca-archive.org/interspeech_2024/martindonas24_interspeech.html )

-  One-class learning with adaptive centroid shift for audio deepfake detection  [paper]( https://www.isca-archive.org/interspeech_2024/kim24b_interspeech.html )

-  Towards generalisable and calibrated audio deepfake detection with self-supervised representations  [paper]( https://www.isca-archive.org/interspeech_2024/pascu24_interspeech.html )

-  Singing Voice Graph Modeling for SingFake Detection  [paper]( https://www.isca-archive.org/interspeech_2024/chen24o_interspeech.html )

-  Genuine-Focused Learning using Mask AutoEncoder for Generalized Fake Audio Detection  [paper]( https://www.isca-archive.org/interspeech_2024/wang24ga_interspeech.html )

-  Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism  [paper]( https://www.isca-archive.org/interspeech_2024/zhong24_interspeech.html )

-  To what extent can ASV systems naturally defend against spoofing attacks?  [paper]( https://www.isca-archive.org/interspeech_2024/jung24d_interspeech.html )

-  Balance, Multiple Augmentation, and Re-synthesis: A Triad Training Strategy for Enhanced Audio Deepfake Detection  [paper]( https://www.isca-archive.org/interspeech_2024/doan24_interspeech.html )

-  Speech Formants Integration for Generalized Detection of Synthetic Speech Spoofing Attacks  [paper]( https://www.isca-archive.org/interspeech_2024/liu24b_interspeech.html )

-  Adapter Learning from Pre-trained Model for Robust Spoof Speech Detection  [paper]( https://www.isca-archive.org/interspeech_2024/wu24c_interspeech.html )

-  Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing Detection  [paper]( https://www.isca-archive.org/interspeech_2024/pan24c_interspeech.html )

-  Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio  [paper]( https://www.isca-archive.org/interspeech_2024/lu24f_interspeech.html )

-  Frequency-mix Knowledge Distillation for Fake Speech Detection  [paper]( https://www.isca-archive.org/interspeech_2024/fan24_interspeech.html )

-  HarmoNet: Partial DeepFake Detection Network based on Multi-scale HarmoF0 Feature Fusion  [paper]( https://www.isca-archive.org/interspeech_2024/liu24g_interspeech.html )

-  A New Approach to Voice Authenticity  [paper]( https://www.isca-archive.org/interspeech_2024/muller24_interspeech.html )

-  Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset  [paper]( https://www.isca-archive.org/interspeech_2024/oiso24_interspeech.html )

-  Harder or Different? Understanding Generalization of Audio Deepfake Detection  [paper]( https://www.isca-archive.org/interspeech_2024/muller24b_interspeech.html )

-  RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection  [paper]( https://www.isca-archive.org/interspeech_2024/chen24k_interspeech.html )

-  Generalized Fake Audio Detection via Deep Stable Learning  [paper]( https://www.isca-archive.org/interspeech_2024/wang24ca_interspeech.html )

-  CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection  [paper]( https://www.isca-archive.org/interspeech_2024/zang24_interspeech.html )

-  FakeSound: Deepfake General Audio Detection  [paper]( https://www.isca-archive.org/interspeech_2024/xie24d_interspeech.html )

### 2023 [papers](https://www.isca-speech.org/archive/interspeech_2023/)

- Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms [paper](https://www.isca-speech.org/archive/interspeech_2023/wen23_interspeech.html)

- Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems [paper](https://www.isca-speech.org/archive/interspeech_2023/panariello23b_interspeech.html)

- How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning [paper](https://www.isca-speech.org/archive/interspeech_2023/shim23b_interspeech.html)

- Spoofing Attacker Also Benefits from Self-Supervised Pretrained Model [paper](https://www.isca-speech.org/archive/interspeech_2023/ito23_interspeech.html)

- Towards single integrated spoofing-aware speaker verification embeddings [paper](https://www.isca-speech.org/archive/interspeech_2023/mun23_interspeech.html)

- DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures [paper](https://www.isca-speech.org/archive/interspeech_2023/zhang23c_interspeech.html)

- Speaker-Aware Anti-spoofing [paper](https://www.isca-speech.org/archive/interspeech_2023/liu23o_interspeech.html)

- Range-Based Equal Error Rate for Spoof Localization [paper](https://www.isca-speech.org/archive/interspeech_2023/zhang23v_interspeech.html)

- A conformer-based classifier for variable-length utterance processing in anti-spoofing [paper](https://www.isca-speech.org/archive/interspeech_2023/rosello23_interspeech.html)

- Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing [paper](https://www.isca-speech.org/archive/interspeech_2023/shim23c_interspeech.html)

- Phase perturbation improves channel robustness for speech spoofing countermeasures [paper](https://www.isca-speech.org/archive/interspeech_2023/zang23_interspeech.html)

- Towards Attention-based Contrastive Learning for Audio Spoof Detection [paper](https://www.isca-speech.org/archive/interspeech_2023/goel23_interspeech.html)

- Synthetic Voice Spoofing Detection based on Feature Pyramid Conformer [paper](https://www.isca-speech.org/archive/interspeech_2023/gong23b_interspeech.html)

- Robust audio anti-spoofing countermeasure with joint training of front-end and back-end models [paper](https://www.isca-speech.org/archive/interspeech_2023/wang23v_interspeech.html#:~:text=Therefore%2C%20we%20proposes%20a%20new%20framework%20for%20robust,framework%20is%20more%20effective%20than%20the%20cascaded%20framework.)

## ICASSP [website](https://ieeexplore.ieee.org/xpl/conhome/1000002/all-proceedings)

 

### 2024 

-  Robust Spoof Speech Detection Based on Multi-Scale Feature Aggregation and Dynamic Convolution  [paper]( https://ieeexplore.ieee.org/document/10446612/?arnumber=10446612 )

-  Can Large-Scale Vocoded Spoofed Data Improve Speech Spoofing Countermeasure with a Self-Supervised Front End?  [paper]( https://ieeexplore.ieee.org/document/10446331/?arnumber=10446331 )

-  Frame-to-Utterance Convergence: A Spectra-Temporal Approach for Unified Spoofing Detection  [paper]( https://ieeexplore.ieee.org/document/10447500/?arnumber=10447500 )

-  CPAUG: Refining Copy-Paste Augmentation for Speech Anti-Spoofing  [paper]( https://ieeexplore.ieee.org/document/10446438/?arnumber=10446438 )

-  One-Class Knowledge Distillation for Spoofing Speech Detection  [paper]( https://ieeexplore.ieee.org/document/10446270/?arnumber=10446270 )

-  An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection  [paper]( https://ieeexplore.ieee.org/document/10448196/?arnumber=10448196 )

-  Selective Domain-Invariant Feature for Generalizable Deepfake Detection  [paper]( https://ieeexplore.ieee.org/document/10447889/?arnumber=10447889 )

-  Multi-Scale Permutation Entropy for Audio Deepfake Detection  [paper]( https://ieeexplore.ieee.org/document/10448095/?arnumber=10448095 )

-  A Green Learning Approach to Spoofed Speech Detection  [paper]( https://ieeexplore.ieee.org/document/10448336/?arnumber=10448336 )

-  Spoofing Attack Augmentation: Can Differently-Trained Attack Models Improve Generalisation?  [paper]( https://ieeexplore.ieee.org/document/10448016/?arnumber=10448016 )

-  Improving Short Utterance Anti-Spoofing with Aasist2  [paper]( https://ieeexplore.ieee.org/document/10448049/?arnumber=10448049 )

-  FSD: An Initial Chinese Dataset for Fake Song Detection  [paper]( https://ieeexplore.ieee.org/document/10446271/?arnumber=10446271 )

-  A Robust Audio Deepfake Detection System via Multi-View Feature  [paper]( https://ieeexplore.ieee.org/document/10446560/?arnumber=10446560 )

-  Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier  [paper]( https://ieeexplore.ieee.org/document/10447923/?arnumber=10447923 )

-  Does Audio Deepfake Detection Rely on Artifacts?  [paper]( https://ieeexplore.ieee.org/document/10446558/?arnumber=10446558 )

-  SingFake: Singing Voice Deepfake Detection  [paper]( https://ieeexplore.ieee.org/document/10448184/?arnumber=10448184 )

-  VFD-Net: Vocoder Fingerprints Detection for Fake Audio  [paper]( https://ieeexplore.ieee.org/document/10446798/?arnumber=10446798 )

-  HM-CONFORMER: A Conformer-Based Audio Deepfake Detection System with Hierarchical Pooling and Multi-Level Classification Token Aggregation Methods  [paper]( https://ieeexplore.ieee.org/document/10448453/?arnumber=10448453 )

### 2023

- Learning From Yourself: A Self-Distillation Method for Fake Speech Detection [paper](https://arxiv.org/pdf/2303.01211.pdf) 

- Can spoofing countermeasure and speaker verification systems be jointly optimised?? [paper](https://arxiv.org/pdf/2303.07073.pdf)

- Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders  [paper](https://arxiv.org/pdf/2210.10570.pdf)

- Phase-Aware Spoof Speech Detection Based on Res2Net with Phase Network [paper](https://arxiv.org/pdf/2203.10793.pdf)

- Leveraging Positional-Related Local-Global Dependency for Synthetic Speech Detection [paper](https://ieeexplore.ieee.org/document/10096278)

- Reliability Estimation for Synthetic Speech Detection [paper](https://ieeexplore.ieee.org/abstract/document/10095524)

## TMLR

- Towards generalizing deep-audio-fake detection networks [paper](https://openreview.net/pdf?id=RGewtLtvHz) [code](https://github.com/gan-police/audiodeepfake-detection)

## TASLP [website](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6570655)

-  Generalizable Speech Spoofing Detection Against Silence Trimming With Data Augmentation and Multi-Task Meta-Learning  [paper]( https://ieeexplore.ieee.org/document/10557138/?arnumber=10557138 )

-  Dual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection  [paper]( https://ieeexplore.ieee.org/document/10506099/?arnumber=10506099 )

-  Compact Time-Domain Representation for Logical Access Spoofed Audio  [paper]( https://ieeexplore.ieee.org/document/10349908/?arnumber=10349908 )

-  The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance  [paper]( https://ieeexplore.ieee.org/document/10003971/?arnumber=10003971 )

-  ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild  [paper]( https://ieeexplore.ieee.org/document/10155166/?arnumber=10155166 )

-  The Impact of Silence on Speech Anti-Spoofing  [paper]( https://ieeexplore.ieee.org/document/10224301/?arnumber=10224301 )

-  Generalized Voice Spoofing Detection via Integral Knowledge Amalgamation  [paper]( https://ieeexplore.ieee.org/document/10158777/?arnumber=10158777 )

-  Device Features Based on Linear Transformation With Parallel Training Data for Replay Speech Detection  [paper]( https://ieeexplore.ieee.org/document/10103148/?arnumber=10103148 )

-  Robustness of Speech Spoofing Detectors Against Adversarial Post-Processing of Voice Conversion  [paper]( https://ieeexplore.ieee.org/document/9599559/ )

-  Modified Magnitude-Phase Spectrum Information for Spoofing Detection  [paper]( https://ieeexplore.ieee.org/document/9360468/ )

-  Optimizing Tandem Speaker Verification and Anti-Spoofing Systems  [paper]( https://ieeexplore.ieee.org/document/9664367/ )

## TIFS [website](https://dblp.uni-trier.de/db/journals/spl/index.html)

-  On Joint Optimization of Automatic Speaker Verification and Anti-Spoofing in the Embedding Space  [paper]( https://ieeexplore.ieee.org/document/9262934/ )

-  Domain Generalization via Aggregation and Separation for Audio Deepfake Detection  [paper]( https://ieeexplore.ieee.org/document/10286049/ )

-  Audio Multi-View Spoofing Detection Framework Based on Audio-Text-Emotion Correlations  [paper]( https://ieeexplore.ieee.org/document/10605761/?arnumber=10605761 )

## SPL [website](https://dblp.uni-trier.de/db/journals/spl/index.html)

-  One-Class Learning Towards Synthetic Voice Spoofing Detection  [paper]( https://ieeexplore.ieee.org/document/9417604/ )

-  Synthetic Speech Detection Based on Local Autoregression and Variance Statistics  [paper]( https://ieeexplore.ieee.org/document/9799523/ )

-  The Role of Long-Term Dependency in Synthetic Speech Detection  [paper]( https://ieeexplore.ieee.org/document/9762538/ )

-  Comparative Analysis of ASV Spoofing Countermeasures: Evaluating Res2Net-Based Approaches  [paper]( https://ieeexplore.ieee.org/document/10237263/ )

-  Discriminative Frequency Information Learning for End-to-End Speech Anti-Spoofing  [paper]( https://ieeexplore.ieee.org/document/10057965/ )

-  End-to-End Dual-Branch Network Towards Synthetic Speech Detection  [paper]( https://ieeexplore.ieee.org/document/10082951/ )

-  Towards End-to-End Synthetic Speech Detection  [paper]( http://arxiv.org/abs/2106.06341 )

-  Synthetic Speech Detection Based on the Temporal Consistency of Speaker Features  [paper]( https://ieeexplore.ieee.org/document/10480137/ )

-  Multi-Level Information Aggregation Based Graph Attention Networks Towards Fake Speech Detection  [paper]( https://ieeexplore.ieee.org/document/10545550/?arnumber=10545550 )

## ACMMM

-  Coarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization  [paper]( https://openreview.net/pdf?id=vKGqzxqNM9 )

-  Audio Deepfake Detection with Self-Supervised XLS-R and SLS Classifier  [paper]( https://openreview.net/pdf?id=acJMIXJg2u )

## SLT

### 2022

-  How to Boost Anti-Spoofing with X-Vectors  [paper]( https://ieeexplore.ieee.org/document/10022504/?arnumber=10022504 )

-  Investigating Active-Learning-Based Training Data Selection for Speech Spoofing Countermeasure  [paper]( https://ieeexplore.ieee.org/document/10023350/?arnumber=10023350 )

-  The Clever Hans Effect in Voice Spoofing Detection  [paper]( https://ieeexplore.ieee.org/document/10022624/?arnumber=10022624 )

## other

-  SafeEar: Content Privacy-Preserving Audio Deepfake Detection  [paper](https://safeearweb.github.io/Project/files/SafeEar_CCS2024.pdf)

-  Fixing Domain Bias for Generalized Deepfake Detection  [paper]( https://ieeexplore.ieee.org/document/10219848/?arnumber=10219848 )

-  Learning to Listen and Listening to Learn: Spoofed Audio Detection Through Linguistic Data Augmentation  [paper]( https://ieeexplore.ieee.org/document/10297267/ )

-  RawSpectrogram: On the Way to Effective Streaming Speech Anti-Spoofing  [paper]( https://ieeexplore.ieee.org/document/10271307/ )

-  Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation  [paper]( http://arxiv.org/abs/2202.12233 )

-  Experimental Case Study of Self-Supervised Learning for Voice Spoofing Detection  [paper](  )

-  Investigating Self-Supervised Front Ends for Speech Spoofing Countermeasures  [paper]( https://www.isca-archive.org/odyssey_2022/wang22_odyssey.html )

-  Investigating Active-Learning-Based Training Data Selection for Speech Spoofing Countermeasure  [paper]( https://ieeexplore.ieee.org/document/10023350/ )

-  SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection  [paper]( http://arxiv.org/abs/2407.18517 )

-  Audio Deepfake Detection with Self-Supervised XLS-R and SLS Classifier  [paper](  )

# category

## model

### graph neural network	

- Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks [paper](https://arxiv.org/pdf/2110.01200.pdf) [code](https://github.com/clovaai/aasist) 

- End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection [paper](https://arxiv.org/pdf/2107.12710.pdf)  [code](https://github.com/eurecom-asp/RawGAT-ST-antispoofing)

### CQCC feature

- Constant Q Cepstral Coefficients: A Spoofing Countermeasure for Automatic Speaker Verification [paper](https://www.asvspoof.org/papers/CSL_CQCC.pdf)  [code is implemented in the asvspoof baselines]

- Towards End-to-End Synthetic Speech Detection [paper](https://arxiv.org/pdf/2106.06341.pdf) 

### sincnet&rawnet

- SPEAKER RECOGNITION FROM RAW WAVEFORM WITH SINCNET [paper](https://arxiv.org/pdf/1808.00158.pdf) [code](https://github.com/mravanelli/SincNet/)

  rawnet 	[1、2、3 all code](https://github.com/Jungjee/RawNet) 

- RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification [paper](https://arxiv.org/pdf/1904.08104.pdf) 

- END-TO-END ANTI-SPOOFING WITH RAWNET2 [paper](https://arxiv.org/pdf/2011.01108.pdf) [code](https://github.com/eurecom-asp/rawnet2-antispoofing)

- Pushing the limits of raw waveform speaker recognition [paper](https://arxiv.org/pdf/2203.08488.pdf)

### using pretrained models

- Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation [paper](https://arxiv.org/pdf/2202.12233.pdf) 

## loss

- One-Class Learning Towards Synthetic Voice Spoofing Detection [paper](https://arxiv.org/pdf/2010.13995.pdf) [code](https://github.com/yzyouzhang/AIR-ASVspoof)

- 

## data augmentation

- Improved mixed-example data augmentation [paper](https://arxiv.org/pdf/1805.11272.pdf) [code](https://github.com/ceciliaresearch/MixedExample)

- RAWBOOST: A RAW DATA BOOSTING AND AUGMENTATION METHOD APPLIED TO AUTOMATIC SPEAKER VERIFICATION ANTI-SPOOFING [paper](https://arxiv.org/pdf/2111.04433.pdf) [code](https://github.com/TakHemlata/RawBoost-antispoofing)

# enlightening

- Your Out-of-Distribution Detection Method is Not Robust! [paper](https://proceedings.neurips.cc/paper_files/paper/2022/file/1f6591cc41be737e9ba4cc487ac8082d-Paper-Conference.pdf)  [code](https://github.com/rohban-lab/ATD)

- Watermarking for Out-of-distribution Detection [paper](https://proceedings.neurips.cc/paper_files/paper/2022/file/63fa7efdd3bcf944a4bd6e0ff6a50041-Paper-Conference.pdf)  [code](https://github.com/QizhouWang/watermarking)

### 2023

- DETECTING OUT-OF-DISTRIBUTION EXAMPLES VIA CLASS-CONDITIONAL IMPRESSIONS REAPPEARING  [paper](https://arxiv.org/pdf/2303.09746.pdf) 

- MCROOD: MULTI-CLASS RADAR OUT-OF-DISTRIBUTION DETECTION [paper](https://arxiv.org/pdf/2303.06232.pdf) 

- DO PROSODY TRANSFER MODELS TRANSFER PROSODY?  [paper](https://arxiv.org/pdf/2303.04289.pdf) 

- TWO-STREAM DECODER FEATURE NORMALITY ESTIMATING NETWORK FOR INDUSTRIAL ANOMALY DETECTION [paper](https://arxiv.org/pdf/2302.09794.pdf)