b'Tomi Kinnunen'

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

∙ 06/13/2023

Speaker Verification Across Ages: Investigating Deep Speaker Embedding Sensitivity to Age Mismatch in Enrollment and Test Speech

In this paper, we study the impact of the ageing on modern deep speaker ...

0 Vishwanath Pratap Singh, et al. ∙

research

∙ 05/31/2023

How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning

Shortcut learning, or `Clever Hans effect` refers to situations where a ...

0 Hye-Jin Shim, et al. ∙

research

∙ 05/31/2023

Multi-Dataset Co-Training with Sharpness-Aware Optimization for Audio Anti-spoofing

Audio anti-spoofing for automatic speaker verification aims to safeguard...

0 Hye-Jin Shim, 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

∙ 03/02/2023

Speaker-Aware Anti-Spoofing

We address speaker-aware anti-spoofing, where prior knowledge of the tar...

0 Xuechen Liu, et al. ∙

research

∙ 03/02/2023

Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification

Deep speaker models yield low error rates in speaker verification. Nonet...

0 Xuechen Liu, 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

GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters

Playing games with cheaters is not fun, and in a multi-billion-dollar vi...

0 Anssi Kanervisto, et al. ∙

research

∙ 05/10/2022

Gamified Speaker Comparison by Listening

We address speaker comparison by listening in a game-like environment, h...

0 Sandip Ghimire, et al. ∙

research

∙ 04/30/2022

Baselines and Protocols for Household Speaker Recognition

Speaker recognition on household devices, such as smart speakers, featur...

0 Alexey Sholokhov, 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

∙ 03/31/2022

Improving speaker de-identification with functional data analysis of f0 trajectories

Due to a constantly increasing amount of speech data that is stored in d...

0 Lauri Tavi, et al. ∙

research

∙ 03/21/2022

Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation

In this paper, we initiate the concern of enhancing the spoofing robustn...

0 Xuechen Liu, et al. ∙

research

∙ 02/10/2022

Learnable Nonlinear Compression for Robust Speaker Verification

In this study, we focus on nonlinear compression methods in spectral fea...

0 Xuechen Liu, 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

∙ 01/24/2022

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

As automatic speaker verification (ASV) systems are vulnerable to spoofi...

1 Anssi Kanervisto, et al. ∙

research

∙ 10/21/2021

Optimizing Multi-Taper Features for Deep Speaker Verification

Multi-taper estimators provide low-variance power spectrum estimates tha...

0 Xuechen Liu, et al. ∙

research

∙ 09/28/2021

VoxCeleb Enrichment for Age and Gender Recognition

VoxCeleb datasets are widely used in speaker recognition studies. Our wo...

0 Khaled Hechmi, et al. ∙

research

∙ 09/24/2021

Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification

After their introduction to robust speech recognition, power normalized ...

0 Xuechen Liu, et al. ∙

research

∙ 09/24/2021

Parameterized Channel Normalization for Far-field Deep Speaker Verification

We address far-field speaker verification with deep neural network (DNN)...

0 Xuechen Liu, 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

∙ 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

∙ 03/26/2021

Data Quality as Predictor of Voice Anti-Spoofing Generalization

Voice anti-spoofing aims at classifying a given speech input either as a...

0 Bhusan Chettri, et al. ∙

research

∙ 02/20/2021

Learnable MFCCs for Speaker Verification

We propose a learnable mel-frequency cepstral coefficient (MFCC) fronten...

0 Xuechen Liu, 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

∙ 12/02/2020

Policy Supervectors: General Characterization of Agents by their Behaviour

By studying the underlying policies of decision-making agents, we can le...

0 Anssi Kanervisto, et al. ∙

research

∙ 09/08/2020

Predictions of Subjective Ratings and Spoofing Assessments of Voice Conversion Challenge 2020 Submissions

The Voice Conversion Challenge 2020 is the third edition under its flags...

0 Rohan Kumar Das, et al. ∙

research

∙ 08/28/2020

Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion

The voice conversion challenge is a bi-annual scientific event held to c...

0 Yi Zhao, et al. ∙

research

∙ 08/11/2020

Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data

Modern automatic speaker verification (ASV) relies heavily on machine le...

0 Rosa González Hautamäki, et al. ∙

research

∙ 08/08/2020

Extrapolating false alarm rates in automatic speaker verification

Automatic speaker verification (ASV) vendors and corpus providers would ...

0 Alexey Sholokhov, et al. ∙

research

∙ 07/30/2020

A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings

Modern automatic speaker verification relies largely on deep neural netw...

0 Xuechen Liu, et al. ∙

research

∙ 07/26/2020

UIAI System for Short-Duration Speaker Verification Challenge 2020

In this work, we present the system description of the UIAI entry for th...

0 Md Sahidullah, 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

∙ 04/19/2020

The Attacker's Perspective on Automatic Speaker Verification: An Overview

Security of automatic speaker verification (ASV) systems is compromised ...

0 Rohan Kumar Das, et al. ∙

research

∙ 02/06/2020

An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning

The spoofing countermeasure (CM) systems in automatic speaker verificati...

0 Anssi Kanervisto, 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

∙ 11/04/2019

Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores

How secure automatic speaker verification (ASV) technology is? More conc...

0 Alexey Sholokhov, et al. ∙

research

∙ 06/03/2019

Voice Mimicry Attacks Assisted by Automatic Speaker Verification

In this work, we simulate a scenario, where a publicly available ASV sys...

0 Ville Vestman, 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

∙ 11/09/2018

Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection

We consider technology-assisted mimicry attacks in the context of automa...

0 Tomi Kinnunen, et al. ∙

research

∙ 11/08/2018

Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search

The popularization of science can often be disregarded by scientists as ...

0 Ville Vestman, et al. ∙

research

∙ 09/12/2018

Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems

Automatic speaker verification (ASV) systems use a playback detector to ...

0 Fuming Fang, et al. ∙

research

∙ 07/02/2018

Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks

The fundamental frequency (F0) represents pitch in speech that determine...

0 Akihiro Kato, et al. ∙

research

∙ 05/08/2018

A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech

The fundamental frequency (F0) contour of speech is a key aspect to repr...

0 Akihiro Kato, et al. ∙

research

∙ 05/03/2018

Supervector Compression Strategies to Speed up I-Vector System Development

The front-end factor analysis (FEFA), an extension of principal componen...

0 Ville Vestman, et al. ∙

Tomi Kinnunen

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