Nicholas Evans

research

∙ 09/21/2023

t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators

Presentation attack (spoofing) detection (PAD) typically operates alongs...

0 Tomi Kinnunen, et al. ∙

research

∙ 09/18/2023

Spoofing attack augmentation: can differently-trained attack models improve generalisation?

A reliable deepfake detector or spoofing countermeasure (CM) should be r...

0 Wanying Ge, et al. ∙

research

∙ 09/12/2023

SynVox2: Towards a privacy-friendly VoxCeleb2 dataset

The success of deep learning in speaker recognition relies heavily on th...

0 Xiaoxiao Miao, et al. ∙

research

∙ 08/27/2023

Fairness and Privacy in Voice Biometrics:A Study of Gender Influences Using wav2vec 2.0

This study investigates the impact of gender information on utility, pri...

0 Oubaida Chouchane, et al. ∙

research

∙ 07/17/2023

Vocoder drift compensation by x-vector alignment in speaker anonymisation

For the most popular x-vector-based approaches to speaker anonymisation,...

0 Michele Panariello, et al. ∙

research

∙ 06/13/2023

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

We present Malafide, a universal adversarial attack against automatic sp...

3 Michele Panariello, et al. ∙

research

∙ 05/30/2023

Towards single integrated spoofing-aware speaker verification embeddings

This study aims to develop a single integrated spoofing-aware speaker ve...

2 Sung Hwan Mun, et al. ∙

research

∙ 05/28/2023

Range-Based Equal Error Rate for Spoof Localization

Spoof localization, also called segment-level detection, is a crucial ta...

1 Lin Zhang, et al. ∙

research

∙ 04/04/2023

A False Sense of Privacy: Towards a Reliable Evaluation Methodology for the Anonymization of Biometric Data

Biometric data contains distinctive human traits such as facial features...

0 Simon Hanisch, et al. ∙

research

∙ 10/05/2022

ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

Benchmarking initiatives support the meaningful comparison of competing ...

0 Xuechen Liu, et al. ∙

research

∙ 05/14/2022

The VoicePrivacy 2020 Challenge Evaluation Plan

The VoicePrivacy Challenge aims to promote the development of privacy pr...

0 Natalia Tomashenko, et al. ∙

research

∙ 04/21/2022

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion

Deep learning has brought impressive progress in the study of both autom...

0 Hye-Jin Shim, et al. ∙

research

∙ 04/11/2022

The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance

Automatic speaker verification is susceptible to various manipulations a...

0 Lin Zhang, et al. ∙

research

∙ 03/23/2022

The VoicePrivacy 2022 Challenge Evaluation Plan

For new participants - Executive summary: (1) The task is to develop a v...

2 Natalia Tomashenko, et al. ∙

research

∙ 02/28/2022

Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations

Despite several years of research in deepfake and spoofing detection for...

0 Wanying Ge, et al. ∙

research

∙ 02/24/2022

Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation

The performance of spoofing countermeasure systems depends fundamentally...

0 Hemlata Tak, et al. ∙

research

∙ 01/25/2022

SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan

ASV (automatic speaker verification) systems are intrinsically required ...

0 Jee-weon Jung, et al. ∙

research

∙ 11/08/2021

RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing

This paper introduces RawBoost, a data boosting and augmentation method ...

0 Hemlata Tak, et al. ∙

research

∙ 10/04/2021

AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks

Artefacts that differentiate spoofed from bona-fide utterances can resid...

0 Jee-weon Jung, et al. ∙

research

∙ 09/01/2021

The VoicePrivacy 2020 Challenge: Results and findings

This paper presents the results and analyses stemming from the first Voi...

2 Natalia Tomashenko, et al. ∙

research

∙ 09/01/2021

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

ASVspoof 2021 is the forth edition in the series of bi-annual challenges...

1 Junichi Yamagishi, et al. ∙

research

∙ 09/01/2021

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

The automatic speaker verification spoofing and countermeasures (ASVspoo...

2 Hector Delgado, et al. ∙

research

∙ 09/01/2021

Benchmarking and challenges in security and privacy for voice biometrics

For many decades, research in speech technologies has focused upon impro...

0 Jean-Francois Bonastre, et al. ∙

research

∙ 07/27/2021

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

Artefacts that serve to distinguish bona fide speech from spoofed or dee...

0 Hemlata Tak, et al. ∙

research

∙ 06/11/2021

Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing

Whether it be for results summarization, or the analysis of classifier f...

7 Tomi Kinnunen, et al. ∙

research

∙ 06/07/2021

PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge

The COVID-19 pandemic has led to the saturation of public health service...

0 Madhu R. Kamble, et al. ∙

research

∙ 04/08/2021

Graph Attention Networks for Anti-Spoofing

The cues needed to detect spoofing attacks against automatic speaker ver...

0 Hemlata Tak, et al. ∙

research

∙ 04/07/2021

Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection

This paper reports the first successful application of a differentiable ...

0 Wanying Ge, et al. ∙

research

∙ 04/06/2021

An Initial Investigation for Detecting Partially Spoofed Audio

All existing databases of spoofed speech contain attack data that is spo...

0 Lin Zhang, et al. ∙

research

∙ 02/18/2021

Biometrics in the Era of COVID-19: Challenges and Opportunities

Since early 2020 the COVID-19 pandemic has had a considerable impact on ...

12 Marta Gomez-Barrero, et al. ∙

research

∙ 02/11/2021

ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

The ASVspoof initiative was conceived to spearhead research in anti-spoo...

0 Andreas Nautsch, et al. ∙

research

∙ 11/30/2020

Modelling Verbal Morphology in Nen

Nen verbal morphology is remarkably complex; a transitive verb can take ...

0 Saliha Muradoğlu, et al. ∙

research

∙ 11/02/2020

Speaker anonymisation using the McAdams coefficient

Anonymisation has the goal of manipulating speech signals in order to de...

3 Jose Patino, et al. ∙

research

∙ 10/08/2020

Texture-based Presentation Attack Detection for Automatic Speaker Verification

Biometric systems are nowadays employed across a broad range of applicat...

0 Lázaro J. González-Soler, et al. ∙

research

∙ 08/30/2020

Speech Pseudonymisation Assessment Using Voice Similarity Matrices

The proliferation of speech technologies and rising privacy legislation ...

0 Paul-Gauthier Noé, et al. ∙

research

∙ 07/12/2020

Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification: Fundamentals

Recent years have seen growing efforts to develop spoofing countermeasur...

0 Tomi Kinnunen, et al. ∙

research

∙ 05/20/2020

Spoofing Attack Detection using the Non-linear Fusion of Sub-band Classifiers

The threat of spoofing can pose a risk to the reliability of automatic s...

0 Hemlata Tak, et al. ∙

research

∙ 05/19/2020

The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment

Mounting privacy legislation calls for the preservation of privacy in sp...

0 Andreas Nautsch, et al. ∙

research

∙ 05/04/2020

Introducing the VoicePrivacy Initiative

The VoicePrivacy initiative aims to promote the development of privacy p...

0 Natalia Tomashenko, et al. ∙

research

∙ 04/20/2020

Self-Supervised Feature Extraction for 3D Axon Segmentation

Existing learning-based methods to automatically trace axons in 3D brain...

0 Tzofi Klinghoffer, et al. ∙

research

∙ 04/14/2020

An explainability study of the constant Q cepstral coefficient spoofing countermeasure for automatic speaker verification

Anti-spoofing for automatic speaker verification is now a well establish...

0 Hemlata Tak, et al. ∙

research

∙ 11/06/2019

The Speed Submission to DIHARD II: Contributions Lessons Learned

This paper describes the speaker diarization systems developed for the S...

0 Md Sahidullah, et al. ∙

research

∙ 11/05/2019

The ASVspoof 2019 database

Automatic speaker verification (ASV) is one of the most natural and conv...

0 Xin Wang, et al. ∙

research

∙ 07/08/2019

The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding

Privacy preservation and the protection of speech data is in high demand...

0 Andreas Nautsch, et al. ∙

research

∙ 07/08/2019

Privacy-Preserving Speaker Recognition with Cohort Score Normalisation

In many voice biometrics applications there is a requirement to preserve...

0 Andreas Nautsch, et al. ∙

research

∙ 05/30/2019

Speaker Anonymization Using X-vector and Neural Waveform Models

The social media revolution has produced a plethora of web services to w...

0 Fuming Fang, et al. ∙

research

∙ 04/16/2019

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST s...

0 Kong Aik Lee, et al. ∙

research

∙ 04/09/2019

ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection

ASVspoof, now in its third edition, is a series of community-led challen...

0 Massimiliano Todisco, et al. ∙

research

∙ 01/04/2019

Introduction to Voice Presentation Attack Detection and Recent Advances

Over the past few years significant progress has been made in the field ...

0 Md Sahidullah, et al. ∙

research

∙ 04/25/2018

t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification

The ASVspoof challenge series was born to spearhead research in anti-spo...

0 Tomi Kinnunen, et al. ∙

Nicholas Evans

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