Hemlata Tak

Orcid: 0000-0002-0102-523X

According to our database1, Hemlata Tak authored at least 26 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale.
CoRR, 2024

Source Tracing of Audio Deepfake Systems.
CoRR, 2024

To what extent can ASV systems naturally defend against spoofing attacks?
CoRR, 2024

Harder or Different? Understanding Generalization of Audio Deepfake Detection.
CoRR, 2024

2023
End-to-End Modeling for Speech Spoofing and Deepfake Detection. (Optimisation des fonctionnalités frontales pour l'anti-usurpation).
PhD thesis, 2023

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Towards Single Integrated Spoofing-aware Speaker Verification Embeddings.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Can Spoofing Countermeasure And Speaker Verification Systems Be Jointly Optimised?
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan.
CoRR, 2022

Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation.
Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion.
Proceedings of the Odyssey 2022: The Speaker and Language Recognition Workshop, 28 June, 2022

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Rawboost: A Raw Data Boosting and Augmentation Method Applied to Automatic Speaker Verification Anti-Spoofing.
Proceedings of the IEEE International Conference on Acoustics, 2022

AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

On the potential of jointly-optimised solutions to spoofing attack detection and automatic speaker verification.
Proceedings of the 6th International Conference, 2022

2021
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection.
CoRR, 2021

Graph Attention Networks for Anti-Spoofing.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

End-to-End anti-spoofing with RawNet2.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Amplitude and Frequency Modulation-based features for detection of replay Spoof Speech.
Speech Commun., 2020

An Explainability Study of the Constant Q Cepstral Coefficient Spoofing Countermeasure for Automatic Speaker Verification.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Spoofing Attack Detection Using the Non-Linear Fusion of Sub-Band Classifiers.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2018
Novel Demodulation-Based Features using Classifier-level Fusion of GMM and CNN for Replay Detection.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Novel Linear Frequency Residual Cepstral Features for Replay Attack Detection.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Effectiveness of Speech Demodulation-Based Features for Replay Detection.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018


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